Podcasts about biomedical informatics

In this episode, Yaa Kumah-Crystal, MD, MPH, MS, Associate Professor of Biomedical Informatics and Pediatric Endocrinology at Vanderbilt University Medical Center (VUMC), discusses the potential of AI and voice technology in improving patient care and medical education. She also explores the challenges of interoperability and the potential for more at-home care and patient insights. Dr. Kumah-Crystal talks about the evolution of Electronic Health Records (EHRs) and outlines three phases of EHR development: paper-based, classic digital entry, and the current generative AI era. She highlights significant advancements in ambient documentation workflows, which allow clinicians—especially in pediatrics, where communication is nuanced—to focus more on patients while AI handles note-taking. She shares her vision for fully integrated, voice-based conversational interfaces in EHRs that enhance both clinician satisfaction and patient engagement. Drawing from her experience as a pediatric endocrinologist and her work with Epic as the EHR vendor, she discusses implementing new workflows like Ambience and exploring additional patient communication methods. Dr. Kumah-Crystal also emphasizes the importance of pilot testing, clearly defined ROI metrics, and close collaboration with vendors to drive innovation. She believes AI will be a critical enabler for better outcomes in pediatric care and beyond.

Host: Denise M. Dupras, M.D., Ph.D. Guest: Heidi Nelson, M.D., Emeritus Chair of the Department of Surgery and past Chair of the Division of Colon & Rectal Surgery at Mayo Clinic in Rochester Guest: Jaeyun Sung, Ph.D., Associate Professor of Biomedical Informatics and Senior Associate Consultant II in the Department of Quantitative Health Sciences, Mayo Clinic Rochester This episode of Genes & Your Health presents the results of the Gut Microbiome Wellness Index 2 study, which examines the differences between the gut microbiomes of healthy and disease-affected populations. Drs. Nelson and Sung discussed a potential future where a stool gut microbiome profile could be used as a barometer of general gut health and outlined how the microbiome can be altered and used to predict overall health.  They also covered factors that can contribute to returning the gut microbiome to healthy status after a disruption. Connect with us and learn more here: https://ce.mayo.edu/online-education/content/mayo-clinic-podcasts 

A recent study published in JAMA Health Forum suggests that institutions may be able to deploy custom open-source large language models (LLMs) that run locally without sacrificing data privacy or flexibility. Coauthors Thomas A. Buckley, BS, and Arjun K. Manrai, PhD, from the Department of Biomedical Informatics at Harvard Medical School join JAMA+ AI Editor in Chief Roy H. Perlis, MD, MSc, to discuss. Related Content: Can Open-Source AI Models Diagnose Complex Cases as Well as GPT-4?

What if AI could guide every patient through their healthcare journey—nudging them toward better choices, anticipating their needs, and adapting in real time? We talk a lot about engagement in healthcare, but too often, the digital tools we use fail to improve outcomes. AI and data-driven personalization hold incredible promise, yet many health plans and providers still struggle with low participation rates. Dr. Erich Huang, Associate Chief Clinical Officer for Informatics and Technology at Verily, an Alphabet company leading the charge in precision health, joins Eric to discuss what's next for AI in healthcare. The conversation touches on how AI is redefining patient engagement, the delicate balance between automation and human touch, and how platforms like Verily's Lightpath are pioneering a new model for chronic care management. If you're a health plan or hospital leader looking to unlock the next generation of patient engagement, you won't want to miss this conversation.  About Erich Erich leads a team focused on structuring clinical-grade data that integrates with the clinical research and healthcare data ecosystems and is optimized for precision medicine, analysis, and artificial intelligence.    Erich was previously at Duke University where he served as the Chief Data Officer for Quality at Duke Health, Director of Duke Forge, Director of Duke Crucible, and Assistant Dean for Biomedical Informatics for Duke University School of Medicine. There, he led and deployed machine learning capabilities for complex care management in Duke Health's Accountable Care Organization, led health data science initiatives, and helped develop Duke Health's new institutional governance process for algorithmic decision support.    He earned his MD and PhD from Duke University, trained and was a Chief Resident in the Duke General Surgery Residency Program. Erich is previously a Burroughs Wellcome Fund Innovations in Regulatory Science Award recipient, received a Sidney Kimmel Cancer Research Foundation Translational Scholar Award, and is twice a recipient of an IBM Faculty Award.   About Verily Verily is an Alphabet health technology company focused on research, care, and health financing to deliver on the promise of precision health and help people live healthier lives. We are uniquely positioned at the intersection of technology, data science, and healthcare to create tools to accelerate evidence generation, products to enable more personalized care, and approaches to make costs more predictable.  

Dr. Yaa Kumah-Crystal shares her pioneering work integrating voice assistant technology and AI into healthcare systems at Vanderbilt University Medical Center. This discussion explores practical applications of voice interfaces in clinical documentation, the evolution of hybrid care models, and responsible AI implementation strategies that enhance both provider experience and patient outcomes. Drawing from her dual expertise as a practicing endocrinologist and biomedical informaticist, Dr. Kumah-Crystal offers actionable insights for healthcare leaders navigating technological transformation.  • Voice-first EHR design reduces documentation burden while maintaining clinical accuracy  • Essential governance frameworks ensure responsible AI deployment in clinical settings  • Successful hybrid care models balance telehealth and in-person care for optimal outcomes  • Practical evaluation methods help prioritize technologies that genuinely improve workflowsYaa Kumah-Crystal, MD, MPH, MS, HealthIT Clinical Director Associate Professor Biomedical Informatics Associate Professor Pediatric Endocrinology Vanderbilt UniversityMegan Antonelli, CEO, HealthIMPACT Live

Well, here we are—the final episode of Informatics in the Round (we think!). After five incredible years, 38 episodes, and thousands of listeners, we've decided it's time to wrap up this journey. But first, we're taking a minute (or maybe two hours) to reflect on this wild ride—and we've brought some people you might recognize! In this episode, we pull some clips from the archive to help us look back at our best moments, favorite topics, and silliest slip-ups over the years. We take you through our “Top 5” topics that we loved to talk about the most: electronic health records, patient privacy, public health, health equity, and AI. We will also share some stories you didn't hear (like that time we forgot to hit records—oops), how the pandemic reshaped our personal and professional lives, and the lessons that will stick with us. To lead us through our Top 5, we invited back some of our favorite guests to reflect and discuss the future of the field:  Dr. Yaa Kumah-Crystal, MD, MPH, MS, is an Associate Professor of Biomedical Informatics and Pediatric Endocrinology at Vanderbilt University Medical Center whose research focuses on documentation in healthcare communication. Dr. Ellen Wright Clayton, JD, MD, is a professor of Pediatrics, Law, and Health Policy at Vanderbilt University Law School and Vanderbilt University Medical Center. Her research focuses on the ethical, legal, and social implications of genomics research. Dr. Melissa McPheeters, PhD, MPH, is the Senior Director for Analytics at RTI International, as well as an esteemed epidemiologist and public health informatician. Her work focuses on building interdisciplinary teams to address complex problems across health, public health, and data modernization processes. Dr. Consuelo H. Wilkins, MD, is the Senior Vice President and Senior Associate Dean of Health Equity at Vanderbilt University Medical Center and the Associate Director of the Vanderbilt Institute for Clinical and Translational Research. Her work attempts to bring together community stakeholders and create collaboration initiatives to improve community health and biomedical research. Dr. Chris Callison-Burch, PhD, MS, is a Professor of Computer and Information Science at the University of Pennsylvania. His research focuses on natural language processing and generative AI. So, is this really goodbye? Maybe, maybe not. We can never sit still for long. But for now, let's raise a glass, share a few laughs, and remember the good ol' times! We can't leave without saying thank you to all of you for being part of the ride, for listening to us on your jog or your commute, and for engaging critically with all we've had to say. It's been an honor. Thank you to all the guests who have joined us throughout the last five years. Thank you for contributing your expertise, your lived experiences, and your unfiltered thoughts. Thank you to the musicians who bravely stepped into conversations about topics they knew little about and for offering up their questions. You ensured we spoke to everyone, and your music said the rest of what our words couldn't convey. To all our guests, your generosity with your time and your knowledge is what made this podcast what it was. Our mission was always to make informatics intelligible so that you and all your friends and family can engage confidently with the topic. We hope you now have the language to feel empowered navigating this crazy, awesome, flawed, fascinating healthcare system.  For now, this is Kevin Johnson, Harris Bland, and Ellie Shuert signing off! Mentioned in the episode: -Hidden Brain podcast -Scott Scovill and Moo TV, plus his appearance on episode 4: “Automated Resilience: Biomedical Informatics as a Safety Net for Life” -Nancy Lorenzi in “Informatics and Anti-Black Racism: What We Need to Do” (Jun. 2020) -Trent Rosenbloom in “21st Century Cures: Curing our Anxiety or Causing It?” (May 2021) -Hey Epic! -Brad Malin in “Data Privacy: Possible, Impossible, or Somewhere In Between?” (Aug. 2020) -Moore v. Regents of the University of California (1990) -”Learning Health Care and the Obligation to Participate in Research” by Ruth R. Faden and Nancy E. Kass (Hastings Center Report) -”The Right to Privacy” by Samuel D. Warren II and Louis Brandeis (Harvard Law Review) -Revenge of the Tipping Point: Overstories, Superspreaders, and the Rise of Social Engineering by Malcolm Gladwell -Colin Walsh in “COVID and the Hidden Data Gap” (Feb. 2021) -Bryant Thomas Karras in “Get Your Dose of Data! An Introduction to Public Health Informatics” (Jul. 2024) STE and public health highway? -Consuelo Wilkins in “Clinical Trials: Are We Whitewashing the Data?” (Nov. 2023) -Where Do We Go from Here: Chaos or Community? by Martin Luther King Jr. -Michael Matheny and Tom Lasko in “AI and Medicine: The Slippery Slope to an Uncertain Future” (Feb. 2020) -Lyle Ungar and Angela Bradbury in “Chatbots in Healthcare: The Ultimate Turing Test” (Aug. 2024) -“A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis” by Yue Yang, Mona Gandhi, Yufei Wang, Yifan Wu, Michael S. Yao, Chris Callison-Burch, James C. Gee, Mark Yatskar (NeurIPS) -Google DeepMind -OpenAI's Deep Research -The Thinking Game (2024) dir. by Greg Kohs -“Dolly the Sheep: A Cautionary Tale” by Robin Feldman and Vern Norviel (Yale Journal of Law & Technology) -Who, Me? Children's book series -The Influencers Substack Follow our social media platforms to stay up to date on our new projects!

Join us for an illuminating discussion with Dr. Soojin Park, an Associate Professor of Neurology (in Biomedical informatics) and an Associate Attending Physician at Columbia University. Dr. Park discusses her career trajectory in neurocritical care and biomedical informatics as well as the potential of machine learning techniques to leverage clinical data to improve patient care.

Join us for an enlightening conversation with Dr. George Hripcsak, the Vivian Beaumont Allen Professor of Biomedical Informatics at Columbia University. Dr. Hripcsak shares insights regarding his research in biomedical informatics, focusing on how data from electronic health records can be leveraged to transform clinical research and patient care. He discusses his pioneering role in the Observational Health Data Sciences and Informatics (OHDSI) coordinating center—an international network with thousands of collaborators and nearly one billion patient records—his career trajectory in the field, and how ChatGPT and large language models are reshaping the future of healthcare and clinical informatics.

Dr. Xenophon Papademetris, Professor of Biomedical Informatics & Data Science, and Radiology & Biomedical Imaging at Yale School of Medicine speaks with Pitt HexAI guest host Jamie Gramz, Senior Director of Digital Strategy and Business Development with Siemens Healthineers. Jamie and Dr. Papademetris discuss Xenophon's experience in medical image analysis, machine learning, and software development and his involvement in the development of medical image analysis software as well as his involvement in Yale's Certificate Program in Medical Software and Medical AI. Jamie and Dr. Papademetris also discuss Xenophon's textbook “Introduction to Medical Software: Foundations for Digital Health, Devices and Diagnostics” and his Coursera online class “Introduction to Medical Software”, the importance of medical software and AI education as well as the importance of interdisciplinary collaboration in AI for healthcare, and they discuss explainability in AI and clinical communications.

Can AI do our jobs better than we can? Let's test it! You might have noticed that this episode got off to a strange start… who were those people talking anyway? That, my friends, was Google NotebookLM's best shot at recording this very podcast. In it, two AI-generated guests conduct an ironic “deep dive” into the topic we are discussing in this episode: whether AI will come to replace certain jobs and how it will change existing jobs in our healthcare system and beyond. For this episode, we had the pleasure of hosting Dr. Marylyn Ritchie, a Professor of Genetics and the Director of the Institute for Biomedical Informatics at the University of Pennsylvania Perelman School of Medicine. An expert in translational bioinformatics, her research focuses on using clinical data to discover the genetic architecture underlying common diseases like cancer and cardiovascular disease. In April, she was appointed Vice Dean of Artificial Intelligence and Computing where she works to develop and implement an AI strategy for the Penn Medicine health system. We also finally got a songwriter back on our guest panel. Collin Frisch is an indie-pop singer-songwriter who describes himself as “like Ed Sheeran, but less talented and better looking.” After graduating from the University of Pennsylvania in 2023, he took on the role of Creative Director at the Bridge Church near Trenton, New Jersey. We were so grateful that Collin could represent the right side of the brain in this conversation. Lastly, we welcomed our co-host Harris Bland back to the show! We turn a bit philosophical in this episode; while we discuss AI's potential to rewire and create jobs, we also talk about the undiscovered fields of medicine where humans must still blaze the path forward. Inevitably, our conversation turned into a reflection about which characteristics AI can't yet emulate, the very things that make us human and—for now—irreplaceable. Mentioned in the episode: -What eMERGE actually means:  -

In the final hour Chris and Amy talk with Dr. Bradley Malin, Professor of Biomedical Informatics at Vanderbilt University joins Chris and Amy to talk about if someone should follow the advice from Elon Musk and upload mediacal scans to "X" AI Bot Grok for diagnoses. More conversation about the woman abducted in Clayton and her sister following while on phone with police dispatch and being transferred. Matthew DeFranks, St. Louis Blues writer for the St. Louis Post-Dispatch joins the show to talk about the rumors of a possible reunion with Jim Montgomery and why is the blue note not on the chest of the new winter classic jersey. Finally, Jesse Watters thinks men should not wish other men a happy birthday.

Today Chris and Amy talk with; CBS Chief Washington Correspondent Major Garrett to talk about President Elect Trump's picks of Dr. Oz for Administrator of the US Centers for Medicare and Medicaid Services and Linda McMahon for Secretary of Education. Cole Payne, President of Film in Missouri and worked with sponsors of the film incentive bill to talk about why films about Missouri are not always filmed in Missouri like the new HBO series 'DTF St. Louis' which is being filmed in Atlanta. KMOX Sports Contributor Bernie Miklasz to talk about if the Blues could fire Bannister and bring in Montgomery? Also Illinois basketball could have a good season and Cardinals off season. Dr. Bradley Malin, Professor of Biomedical Informatics at Vanderbilt University to talk about if someone should follow the advice from Elon Musk and upload mediacal scans to "X" AI Bot Grok for diagnoses. Matthew DeFranks, St. Louis Blues writer for the St. Louis Post-Dispatch to talk about the rumors of a possible reunion with Jim Montgomery and why is the blue note not on the chest of the new winter classic jersey.

Dr. Bradley Malin, Professor of Biomedical Informatics at Vanderbilt University, joins Chris and Amy to to discuss whether or not you should trust AI with your medical records.

Dr. Chris Harle, professor at Indiana University and researcher at Regenstrief Institute, draws from deep informatics experience to discuss the future of EHR optimization and UX, AI-enabled CDS, provider experience, patient safety and more.

What exactly is a “learning health system”? In several of our episodes, you've heard us talk about how data collection has modernized through new technologies and enhanced approaches to clinical trials. But now that we have all that data, we need to transform it into clinical practice. Learning health systems are all about completing this virtuous cycle from scientific discovery to implementation, and yet, there are few that exist and work well. In this episode, you'll hear us discuss (and perhaps debate) what a true learning health system looks like, as well as how informatics can help lead the charge. Up first on our panel of distinguished guests is Dr. Genevieve Melton-Meaux, a Professor of Surgery and Senior Associate Dean of Health Informatics and Data Science at the University of Minnesota. Among her many accolades, she is a Past President of the American College of Medical Informatics, current President of the American Medical Informatics Association, and Director for the Center of Learning Health System Sciences at Minnesota. Her research focuses on clinical natural language processing, surgical informatics, and optimizing AI best practices. We were also joined by Dr. Chuck Friedman, a Professor of Medical Education and Chair of the Department of Learning Health Sciences at the University of Michigan Medical School. He is also the editor-in-chief of the open-access journal Learning Health Systems. Drawing from his time at the Office of the National Coordinator for Health Information Technology in the U.S. Department for Health and Human Services, he helped transform Michigan's medical education department into one of the first in the nation to focus on learning health at all levels, including large-scale information infrastructure. Finally, we had Dr. Peter Embí, Professor and Chair of the Department of Biomedical Informatics and Senior Vice President for Research and Innovation at Vanderbilt University Medical Center. Prior, he served as President and CEO of the Regenstrief Institute, a not-for-profit health care research organization in Indianapolis, Indiana that seeks to develop, conduct, and disseminate scientific research across communities. A Past President of the American Medical Informatics Association, his research centers on data-driven learning health systems. We are also pleased to share an original learning health systems “anthem,” composed by Molly Sinderbrand, called “System Problems Need System Solutions.” In our jazzy rendition, it was performed by pianist Phil Barrison and our very own Kevin Johnson on vocals! We appreciate all their contributions and are excited to feature it at the end of this episode! Tackling a topic like this required top-notch guests, and they delivered! We hope you enjoy listening. Links mentioned in this episode: -Evaluation Methods in Biomedical and Health Informatics by Charles P. Friedman, Jeremy C. Wyatt, Joan S. Ash -“Where's the Science in Medical Informatics?” by C.P. Friedman -Learn more about the Indiana Network for Patient Care  -Patti Brennan's Presentation referred to as “Care Between the Care”: “High-Reliability, Person-Centered Health Care Systems: It Can't Happen Without the National Library of Medicine,” presented at GoldLab Symposium 2018 -“Creating Local Learning Health Systems: Thinking Globally, Act Locally” by William E. Smoyer, Peter J. Embí, Susan Moffatt-Bruce  Make sure to follow our Instagram, Twitter, Threads, and TikTok accounts so you can stay up to date on all our new content. Also don't forget to follow us on Twitter @kbjohnsonmd. You can find us wherever you typically get your podcasts. Thanks for listening! Instagram: @infointhernd Twitter: @infointhernd  Threads: @infointhernd TikTok: @infointhernd Website: https://www.kevinbjohnsonmd.net/

Dr. Sandra Hassink is joined by Dr. Mona Sharifi, and Dr. Sarah Armstrong. Dr. Sharifi is an Associate Professor of Pediatrics (General Pediatrics) and of Biomedical Informatics and Data Science, at the Yale University School of Medicine; as well as the Chief of Pediatrics. Dr. Armstrong is a Professor of Pediatrics and Populations Health Sciences, and the Division Chief of General Pediatrics and Adolescent Health at Duke. Related Resources: • Clinical Practice Guideline for the Evaluation and Treatment of Children and Adolescents with Obesity (tinyurl.com/yc53upmr) • Obesity CPG Homepage (tinyurl.com/52nz6m2m) • US Preventive Services Task Force Recommendation Statement (tinyurl.com/3rxb794v)

In this episode of Research Renaissance, host Deborah Westphal dives into a fascinating conversation with Dr. Sudeshna Das, Associate Professor of Neurology at Mass General Hospital and Harvard Medical School. Dr. Das is a pioneer in the field of biomedical informatics and a 2022 Toffler Scholar. Her work focuses on developing tools for multi-scale data integration from molecular to clinical data and applying data science approaches to study neurodegenerative diseases, particularly Alzheimer's disease.Guest Introduction: Dr. Sudeshna DasDr. Sudeshna Das is an Associate Professor of Neurology at Mass General Hospital and Harvard Medical School. She specializes in biomedical informatics and has a keen interest in developing tools for integrating diverse data sets, from molecular to clinical, to understand complex diseases like Alzheimer's. Dr. Das has a rich background in engineering and computational biology, making significant contributions to the field of drug discovery and neurodegenerative disease research.Key Discussion PointsCareer Motivation and Journey:Dr. Das shares her early inspiration to cure cancer, driven by personal experiences with family members who had the disease.Her transition from engineering to biomedical informatics and the unique challenges and opportunities she faced as a female engineer in India.Biomedical Informatics and Data Integration:Explanation of biomedical informatics, bioinformatics, and computational biology.The importance of integrating large, high-dimensional data sets and real-world data for research.Challenges in managing and analyzing big data and high-velocity data.Alzheimer's Disease Research:The focus on understanding the roles of different cell types in Alzheimer's disease, particularly astrocytes, and their progression from protective to exhausted states.The significance of recent findings on the role of T cells in Alzheimer's disease and their potential as therapeutic targets.Future of Alzheimer's Research:The promise of new technologies like spatial transcriptomics and artificial intelligence in advancing Alzheimer's research.The potential of AI tools, such as graph neural nets, to model disease pathways and predict effective treatments for individual patients.The long-term goal of developing personalized treatments for Alzheimer's disease.Mentoring and Funding:Dr. Das's commitment to mentoring young researchers and her approach to guiding students through complex research landscapes.The role of foundations like the Karen Toffler Charitable Trust in providing crucial funding for preliminary research.Stay tuned for more episodes of Research Renaissance by subscribing to our podcast. For further information and updates, visit our website at TofflerTrust.org. We welcome your thoughts and suggestions, so feel free to reach out! Until then, onward and upward.To learn more about the breakthroughs discussed in this episode and to support ongoing research, visit our website at tofflertrust.org. Technical Podcast Support by Jon Keur at Wayfare Recording Co.

In this episode of The Bankers' Bookshel, host Paolo Sironi speaks with Dr. Jobst Landgrebe and Professor Barry Smith about their book, "Why Machines Will Never Rule the World: Artificial Intelligence without Fear". The guests argue that artificial intelligence (AI) cannot achieve true intelligence or consciousness due to fundamental mathematical and philosophical limitations. Dr. Landgrebe explains that AI, including models like ChatGPT, is unable to solve novel problems independently, as it relies on patterns from pre-existing data. Professor Smith adds that human intelligence involves both "knowing how" and "knowing that," which AI lacks. They assert that AI's current capabilities are limited to specific tasks and cannot replicate the complexity of human thought or active perception. The authors emphasize the importance of understanding AI's limitations to prevent misuse and manage expectations. They encourage a realistic view of AI, focusing on its role as a tool rather than a threat. The episode challenges the hype around artificial general intelligence, advocating for a practical and informed approach to AI development and deployment. ‌ ‌ Dr. Jobst Landgrebe - Chief Technology Strategist, Indivumed TherapeuticsDr. Jobst Landgrebe obtained his MD/PhD in cell biology in 1998. He is a licensed physician and studied medicine, biochemistry and mathematics. He works as head of R&D in a cancer research biotech company based in Hamburg. His current research interests are theory of science (for which he is a visiting professor at the University of Italian Switzerland) and biomedical/biomathematical cancer research. Barry Smith - Professor of Philosophy, Computer Science, and Biomedical Informatics, University of Buffalo Barry Smith is one of the world's most widely cited contemporary philosophers, known especially for his application of ideas derived from logic and ontology to the solution of problems in domains outside philosophy, including economics, biology and medicine. Most recently he has been working on extending this approach to the military and intelligence domains, where his proposals have been adopted as baseline standards by the US Department of Defense and by the US Intelligence Community. ‌ On the book:The main thesis of Why Machines Will Never Rule the World (Routledge 2023)'s main thesis is that so-called ‘Artificial General Intelligence' – an AI with the level of intelligence achieved by human beings – is for mathematical reasons impossible. This means that many assumptions surrounding current AI, including assumptions concerning the future takeover of the planet by autonomous robots, are founded on hype. ‌

Welcome, everyone, to your introductory course in public health informatics! On today's episode, we discuss all things public health, including what it is, how it varies on a state and national level, and how health departments respond to public health crises. We demystify some of our misconceptions about how the public health system works, like how state departments are separate from the CDC, how we share disease statistics such as during the COVID-19 pandemic, and how our medical history may or may not travel with us from state to state. Of course, our question always is, why does informatics matter in this conversation? Our guests have many ideas about how we can utilize informatics to create more efficient means of sharing data and, by extension, improving our overall public health. Dr. Bryant Thomas Karras is the Chief Medical Informatics Officer at the State of Washington Department of Health and a faculty member at the University of Washington's School of Public Health. He is a physician, biomedical engineer, and informatician who uses his multifaceted experience to promote interoperability and help various agencies utilize new technologies in their public health efforts. He's advised health departments on a local, state, and national level, including the Center of Disease Control and Prevention and the U.S. Department of Health and Human Services. Dr. Jessie Tenenbaum is an Associate Professor at Duke University School of Medicine, and she recently concluded a five-year tenure as the Chief Data Officer for the North Carolina Department of Health and Human Services. Her work focuses on enhancing data-driven decision-making to improve public health outcomes and finding AI methods to improve whole person health. She's served on the editorial board for the Journal of Biomedical Informatics, on AMIA's Board of Directors, and on the Board of Scientific Counselors for the National Library of Medicine, all while advocating for women in STEM and precision medicine efforts. We were so thankful to have both of these experts on this episode! Last but not least, we were joined by a new guest—Lauren Malloy joined us as a co-host for this episode. Lauren is the administrative coordinator for the Artificial Intelligence for Ambulatory Care Innovation Laboratory at the University of Pennsylvania, which investigates how technology can address healthcare challenges. Her insights into how public health issues manifest in our daily lives were invaluable, and we were honored to have her as a guest star! We hope you enjoy this episode as much as we did filming it! "Cheat Sheet" to the acronyms discussed in this episode: -AMIA: American Medical Informatics Association -APHL: Association for Public Health Laboratories -CDC: Center for Disease Control and Prevention -CDO/CIO/CMIO: Chief Data Officer, Chief Information Officer, Chief Medical Informatics Officer -ECR: electronic case reporting -EHR: electronic health record -EIS: Epidemic Intelligence Service -IIS: Immunization Information System -IPS: International Patient Summary (Canada) -HHS: Department of Health and Human Services -NPI: National Patient Identifier, also National Provider Identifier -PPRL: Privacy Protecting Record Linkage -VCI: verifiable clinical information Make sure to follow our Instagram, Twitter, Threads, and TikTok accounts so you can stay up to date on all our new content. Also don't forget to follow us on Twitter @kbjohnsonmd. You can find us wherever you typically get your podcasts. Thanks for listening! Instagram: @infointhernd Twitter: @infointhernd Threads: @infointhernd TikTok: @infointhernd Website: https://www.kevinbjohnsonmd.net/

In this episode of HIPcast, Susan H. Fenton, PhD, RHIA, ACHIP, FAMIA discusses workforce development for the current workforce and current students around biomedical informatics technology. Dr. Fenton also shares about the ONC-funded project she is managing titled Gaining Equity in Training for Health Informatics and Technology. Our favorite quote from this episode is “Health Information Professionals are the center of the universe”! #HIPcast with Shannan and Seth. Show Sponsor:Datavant – a leader in data logistics for healthcare. Learn more at www.datavant.com   

View the Show Notes Page for This Episode Become a Member to Receive Exclusive Content Sign Up to Receive Peter's Weekly Newsletter Isaac "Zak" Kohane, a pioneering physician-scientist and chair of the Department of Biomedical Informatics at Harvard Medical School, has authored numerous papers and influential books on artificial intelligence (AI), including The AI Revolution in Medicine: GPT-4 and Beyond. In this episode, Zak explores the evolution of AI, from its early iterations to the current third generation, illuminating how it is transforming medicine today and unlocking astonishing possibilities for the future. He shares insights from his unconventional journey and early interactions with GPT-4, highlighting significant AI advancements in image-based medical specialties, early disease diagnosis, and the potential for autonomous robotic surgery. He also delves into the ethical concerns and regulatory challenges of AI, its potential to augment clinicians, and the broader implications of AI achieving human-like creativity and expertise. We discuss: Zak's unconventional journey to becoming a pioneering physician-scientist, and his early interactions with GPT-4 [2:15]; The evolution of AI from the earliest versions to today's neural networks, and the shifting definitions of intelligence over time [8:00]; How vast data sets, advanced neural networks, and powerful GPU technology have driven AI from its early limitations to achieving remarkable successes in medicine and other fields [19:00]; An AI breakthrough in medicine: the ability to accurately recognize retinopathy [29:00]; Third generation AI: how improvements in natural language processing significantly advanced AI capabilities [32:00]; AI concerns and regulation: misuse by individuals, military applications, displacement of jobs, and potential existential concerns [37:30]; How AI is enhancing image-based medical specialties like radiology [49:15]; The use of AI by patients and doctors [55:45]; The potential for AI to augment clinicians and address physician shortages [1:02:45]; The potential for AI to revolutionize early diagnosis and prediction of diseases: Alzheimer's disease, CVD, autism, and more [1:08:00]; The future of AI in healthcare: integration of patient data, improved diagnostics, and the challenges of data accessibility and regulatory compliance [1:17:00]; The future of autonomous robotic surgery [1:25:00]; AI and the future of mental health care [1:31:30]; How AI may transform and disrupt the medical industry: new business models and potential resistance from established medical institutions [1:34:45]; Potential positive and negative impacts of AI outside of medicine over the next decade [1:38:30]; The implications of AI achieving a level of creativity and expertise comparable to exceptional human talents [1:42:00]; Digital immortality and legacy: the potential to emulate an individual's personality and responses and the ethical questions surrounding it [1:45:45]; Parting thoughts [1:50:15]; and More. Connect With Peter on Twitter, Instagram, Facebook and YouTube

The critical care management of spontaneous subarachnoid hemorrhage (SAH) is similar to that of other acute brain injuries, with the addition of detecting and treating delayed cerebral ischemia. Recent trials are influencing practice and providing guidance for standardizing management. In this episode, Kait Nevel, MD speaks with Soojin Park, MD, FAHA, FNCS, author of the article “Emergent Management of Spontaneous Subarachnoid Hemorrhage,” in the Continuum June 2024 Neurocritical Care issue. Dr. Nevel is a Continuum® Audio interviewer and a neurologist and neuro-oncologist at Indiana University School of Medicine in Indianapolis, Indiana. Dr. Park is an associate professor of neurology (in biomedical informatics) at Vagelos College of Physicians and Surgeons, Columbia University in New York, New York and medical director of critical care data science and artificial intelligence at NewYork-Presbyterian Hospital in New York, New York. Additional Resources Read the article: Emergent Management of Spontaneous Subarachnoid Hemorrhage Subscribe to Continuum: shop.lww.com/Continuum Earn CME (available only to AAN members): continpub.com/AudioCME Continuum® Aloud (verbatim audio-book style recordings of articles available only to Continuum® subscribers): continpub.com/Aloud More about the American Academy of Neurology: aan.com Social Media facebook.com/continuumcme @ContinuumAAN Host: @IUneurodocmom Guest: @soojin_soojin Full episode transcript   Dr Jones: This is Dr Lyell Jones, Editor-in-Chief of Continuum, the premier topic-based neurology clinical review and CME journal from the American Academy of Neurology. Thank you for joining us on Continuum Audio, a companion podcast to the journal. Continuum Audio features conversations with the guest editors and authors of Continuum, who are the leading experts in their fields. Subscribers to the Continuum journal can read the full article or listen to verbatim recordings of the article by visiting the link in the show notes. Subscribers also have access to exclusive audio content not featured on the podcast. As an ad-free journal entirely supported by subscriptions, if you're not already a subscriber, we encourage you to become one. For more information on subscribing, please visit the link in the show notes. AAN members, stay tuned after the episode to hear how you can get CME for listening.   Dr Nevel: This is Dr Kait Nevel. Today, I'm interviewing Dr Soojin Park about her article on emergent management of spontaneous subarachnoid hemorrhage, which is part of the June 2024 Continuum issue on neurocritical care. Welcome to the podcast. It's so great to be talking to you today.   Dr Park: Thank you so much, Kait. Nice to be here.   Dr Nevel: Before we get started, could you introduce yourself for the audience?   Dr Park: Sure. So, I am an Associate Professor of Neurology - also in Biomedical Informatics - at Columbia University here in New York City. I trained in vascular neurology and neurocritical care.   Dr Nevel: Great. And so, I always like to ask at the beginning of these interviews, you know, if we could take away one thing from your article — and this is specifically (I'll direct this) towards the neurologists out there that are covering inpatient consults and ER consults — and so, for our clinical neurologists listening out there, what is the most important thing that you think that they should take away from your article?   Dr Park: So, I guess the most important thing for the general neurologists out there is that it may have been a while since they were aware of some updates that have occurred. There are some recent trials that are influencing practice and will potentially influence practice in the next few years that readers should really know about, and it provides a little bit stronger guidance to drive more standardized management. There have been two recent guidelines published this year. But there remain several gray areas for management where you need to be a bit more nuanced, and so I'm hoping the article gives the readers a framework to deliver more expert care.   Dr Nevel: Yeah, and I really, of course, always urge the listeners to go back and read the article and reference the article, because I do think that you do that really nicely and are clear when there are things where there's more higher-level, evidence-based reasons for things and where there's, kind of, just more expertise and guidelines on certain things. So, could you tell the listeners a little bit more about yourself, what interests you about subarachnoid hemorrhage specifically, and how you approach that interest and clinical background in writing this article?   Dr Park: So, I mentioned that I trained in both vascular neurology and neurocritical care back when many people used to do that. As a result, I've trained or practiced in four different academic medical centers who have specialized neurointensive care units. And the patients with subarachnoid hemorrhage tend to have a substantial ICU length of stay, and the neurointensive care that we provide can have a very large impact on patient outcome. And what I saw, though (practicing across four different centers), was that the management of patients with subarach can be quite variable across institutions and across patients within institutions, and it's reflective of a couple of things. One, there's, like, complexity in detecting ischemia, even when your patient is a captive audience in their ICU room. Second, there's many clinical mimics that occur (the patients with subarachnoid hemorrhage, they have a risk for), such as hydrocephalus, seizure, and things like delirium. And then, finally, there's limitations in the technology that we even have available in terms of monitoring these patients. But, for me, it was this complexity and the variability of management that kind of posed an opportunity, and it really sparked my curiosity early on and has sustained me. So, I'm particularly interested in the role that, kind of, the complex analysis of existing monitoring technologies can play to improve outcome for patients with subarachnoid hemorrhage, and that's where the marriage of both being a neurointensive care physician and a biomedical informatics person comes in.   Dr Nevel: Yeah. That's really interesting, and I could see that, because I always felt, even during my training, that some of the management and, you know, what diagnostics were even ordered to follow patients throughout the ICU was expertise based and seemed to vary without a lot of really solid, again, high-level studies, guiding what was done. So how do you marry the bioinformatics with your interest in SAH?   Dr Park: Right. So, I have two grants on - basically, I guess you would say AI, but really data science - on how we can manage patients with bleeds, specifically ICH and subarachnoid hemorrhage and hydrocephalus. So, we use data that comes from the monitors and we process that in a multimodal fashion and apply signal processing and machine learning and we build predictive analytic tools. So, I'm very interested in this pipeline of developing clinical decision support (information that we don't really have), and we're trying to glean from all the data and turn it into information that clinicians might use. The problem in subarachnoid hemorrhage patients is that a lot of what we're looking for is subclinical - so, it's not quite obvious, either because you can't possibly be in the room to be constantly monitoring for it (and, currently, the best monitor is the human, is examination), but, specifically in patients who have disordered consciousness, even the examination can be somewhat limited, and that's where we rely upon some of our neuromonitors. So, my interest has come in taking those multimodal monitors - but even nonneurologic monitors (stuff about your physiology, like your heart rate and blood pressure, et cetera) - and able to find signals that might tell us that a patient is getting into a dangerous zone. So, that's what my research portfolio has been 100% about - it's about subarachnoid hemorrhage patients and trying to optimize management, both for prevention and intervening in a timely fashion.   Dr Nevel: Wow. That's really interesting and would be so wonderful, it sounds like, for this patient population, if, you know, something was able to be identified that you could easily monitor to kind of predict or catch things early. So, kind of segueing from that, what do you think are the most — and you outline these nicely in your article, and I'm going to reference the listeners to, I believe it's the first table (table 5-1) - but what are, just like in general, the most important initial steps a clinician should take when managing somebody with an aneurysmal subarachnoid hemorrhage?   Dr Park: So, I think it's sort of along the timeline. So, at the time of presentation of a patient with subarachnoid hemorrhage, the focus you should have should be really on differentiating the etiology of the subarachnoid hemorrhage. At the same time, if the patient has any coagulopathies, you should manage that coagulopathy reversal, blood pressure management, and then detection and management and treatment of hydrocephalus. That's first and foremost. But then there is a longer timeline of neurocritical care management, and that's really centered on prevention, detection, and treatment of delayed cerebral ischemia, and that can occur anytime from onset of subarachnoid hemorrhage to two to three weeks out. And then that period of neurocritical care is made challenging because you have early brain injury (which is the period of seventy-two hours after onset), cerebral edema, and then, like we talked about, disordered consciousness. This kind of knowing how to augment your management strategies with monitoring or imaging is really key.   Dr Nevel: Yeah. And you, you know, spend some time in your article really going through delayed cerebral ischemia really nicely. And I would love to hear your take on what is the most challenging aspects of delayed cerebral ischemia in both, you know, diagnosis and management - and you alluded to it a little bit earlier, I think, with some of your research, but I would love to hear you talk about that.   Dr Park: Yeah. And actually, this is probably one of - if there was a controversial area in this topic, it would be about this - because there does not seem to be one best way to operationalize how you either survey for, or monitor for, delayed cerebral ischemia. There has been, historically, a merging of these definitions of vasospasm and delayed cerebral ischemia, which are not the same thing.  And so, if you were to draw a Venn diagram, not all patients who have cerebral vasospasm end up having symptomatic or delayed cerebral ischemia, and not all patients who have delayed cerebral ischemia have any discernable vasospasm - and, so, to use the terms interchangeably leads to a little bit of confusion. I mentioned the clinical mimics - you know, the causes of which are myriad (could be delirium, or hydrocephalus, or early brain injury) - and so that also poses another challenge. And, so, what I always say is that delayed cerebral ischemia, sometimes - when you're thinking about it in the context of subarachnoid hemorrhage - is sometimes a retrospective diagnosis. And it really kind of came from a really earnest attempt to standardize what the community is talking about, so that we can better understand how to define (if you understand how to define it better, then you can tailor treatments, study treatments, you're talking about the same disease) - but we're still not there, and I think that's where a lot of the controversy or confusion comes from. My personal approach is really to focus on the symptomatology, so, if a patient has vasospasm - whether that is, you know, screened for with a transcranial Doppler (if your institution does use transcranial Dopplers, it might be a nice screening tool) - but the fact of the matter is that not all patients can get a transcranial Doppler every single day. You know, most of the institutions that I have worked in offer that technology Monday through Friday and not on holidays, not on weekends, and so you can't fully rely upon something like that. The advantage of it is that it has pretty high sensitivity but it does have a lower specificity (so it overcalls vasospasms), so to treat just based on a TCD would probably be erroneous. Not all people agree, but I think that's the majority of the sentiment - is that you should then be triggered to go look for confirmation with some neuroimaging and really potentially wait for symptoms so that it might be a trigger to optimize the patient in terms of volume and blood pressure, but not necessarily to treat. So, yeah, operationalizing that workflow of how do you trigger, you know, confirmatory neuroimaging, what type of neuroimaging you should then choose? This is where the variability exists. But, in general, I focus on symptomatology. The extra challenge comes in the patients who have disordered consciousness. And so, at an institution like mine, we do rely upon invasive neuromonitoring, and that's now called for in the guidelines as well.   Dr Nevel: And I imagine these are high-intensity situations where also I would suspect decisions, you know, need to be made quickly on some of these things that you're talking about, too.   Dr Park: That's right.   Dr Nevel: What do you think is a misconception - or maybe (I hate to call it a mistake, but for lack of a better term) like an easy mistake that one can make - when treating patients with aneurysmal subarachnoid hemorrhage?   Dr Park: Hmm, an easy mistake. I guess, you know, time is brain, so it's an opportunity to miss ischemia - or actually attribute everything to ischemia and ignore the possibility for things like seizure (so nonconvulsive seizures), a resurgence of more of a delayed hydrocephalus - and so, I think it's important as you're managing a patient not to get kind of pigeonholed into looking for one particular thing (only looking for delayed cerebral ischemia), but being really vigilant that there could be lots of different reasons for a neurological change of a patient. And so, timely monitoring - kind of figuring out the etiology of a change in neurological status - is really important. And then, also, on the flip side of that, is we're really good at being aggressive in both inducing hypertension or managing a patient (trying to prevent ischemia), we're not that great about starting to pull back - and so I think being vigilant about opportunities to reassess your patient's risk for ongoing ischemia and deciding when that period of risk is over and starting to peel back on therapies, because these patients are also at risk for the down sides of inducing hypertension, which is PRES - and we have seen that in patients, and, you know, the phenotype of that will look very much like ischemia.   Dr Nevel: Yeah, it's complicated because you're taking care of patients with often impaired consciousness who have a lot of symptoms that could represent many different diagnoses that you would treat very differently, so I could see that that might be easy to do to kind of fall into the mindset of thinking that it's definitely one thing without fully evaluating for everything. So, caring for patients with aneurysmal subarachnoid hemorrhage obviously can be really, you know, challenging from the medical perspective, but also from the perspective of, you know, communication with families, and families asking questions about prognosis and things like that (and you mentioned this in your article about prognostication a little bit) - and can you talk a little bit about our ability to prognosticate long-term outcomes for patients who are in that acute phase (maybe even early first, you know, couple of days or a week) with a subarachnoid hemorrhage?   Dr Park: I think one of the most rewarding aspects of caring for patients with subarachnoid hemorrhage is that these patients can look, really, very sick in the beginning, and they're quite complex to manage, but you can see some very impressive recovery. And from a neurointensivist perspective, seeing that recovery in kind of a rapid timeline is rare - and we get to see that in subarach patients. We see patients who just have refractory recurrent vasospasm and delayed cerebral ischemia getting all of the tools thrown at them and you're really kind of, you know, concerned that there seems to be no end - but there is this peak of that injury, and then after that window of secondary brain injury risk kind of resolves, the patient can very much recover (so seeing patients who look the sickest be able to leave and go home). I think there is a hidden cost to subarachnoid hemorrhage where, maybe on our gross measures of outcome, patients look great, but there are this hidden cost of social psychological outcome that is unmeasured the way that we are currently measuring it. And I think our field is getting better at adopting some of the ability to measure those kind of hidden costs, and we're able to see that, even a year out, patients are really not back to where they were before (even though on the scales we currently have, they do look great, right, in terms of motor function, and things like that) - so, I think as clinicians, we have to be sensitive to that. So, when we talk to families, we have to remain hopeful that they are going to have a remarkable potential recovery but prepare families that they really should be on the lookout for any opportunity to rehabilitate in all aspects of function.   Dr Nevel: Yeah. And you mentioned in your article that as we're moving into the future  - and even currently - that there is some focus on gathering more patient-reported outcomes for people who are, you know, out of the ICU back in their normal lives after subarachnoid hemorrhage (which speaks to this that you're talking about, that even if their motor function is normal, they may not be back to their normal lives). So, what is something you think that's really important that we've learned in the past ten years - I'll give it ten years, you can go back further, make that time frame shorter if you want, but about the past ten years - about subarachnoid hemorrhage's impact on patient care, and then what do you think we're going to learn in the next ten years that will impact the way we care for these patients?   Dr Park: So, you know, subarach - in terms of the literature that is forming, that has formed - like I said, the guidelines had not been updated for over a decade, and we're fortunate to have not just one, but two sets of guidelines from two professional societies that were published right next to each other this past year in 2023 - but the field is fast moving, so even after the publication of those guidelines, there was one of the first randomized controlled trials in the field to be published maybe a month or two after that (that was the early lumbar drain trial). So, the key areas that I think where the literature has really helped strengthen our practice in terms of bringing standardization is in the antifibrinolytics. And so, in that space, recently, there was a very nicely performed randomized controlled trial for early administration of antifibrinolytics. It's a practice that, even when I was training, was sort of based on old literature back when we used to treat subarachnoid patients very differently - so we were really kind of extrapolating from that literature into our practice, and we were all sort of just giving it uniformly to patients early on with the good intention to try to prevent rebleeding, (which we understood, prior to aneurysm securement, was a high source of morbidity/mortality). So, in trying to reduce that risk of rebleeding (which happens very early) as much as we could, we were giving it. But the length of treatment (you know, who should we give that medication to) was really kind of uncertain - and this recent randomized controlled trial really gave a definitive answer to this, which is that it probably makes no difference. It should be seen with a caveat, though, that the trial (like any trial) was a very specific population. So, it could probably be said that for patients who are secured very early, there's no role for antifibrinolytic therapy, but, potentially, for patients who may be in a lower-middle-income environment or lower-income environment or for whatever reason can't reach aneurysm securement within that seventy two-hour period - you could consider, you know, greater than twenty-four hours you should consider the use of antifibrinolytics - but largely has brought an end to uniform administration of antifibrinolytics. This is where that expert nuanced care comes to, right?   Dr Nevel: Mm-hmm.   Dr Park: Another area is, really, kind of something as basic as blood pressure management. I think we were taught very early on that we should be very rigorous, bring that blood pressure down - and so, I think, across all types of stroke now, we're realizing there is a little bit of nuance, right? You have to think about your patient, about prior existing renal failure, about prior existing chronic hypertension that's poorly controlled - and in subarachnoid hemorrhage, the additional impact of that early brain injury. If you have cerebral edema, you should be considering, do we really want to control our blood pressure that low? Because we might be inducing secondary brain injury from our presumed protective intervention. So, these types of things are being revisited - so, the language around that in the new guidelines is a little bit softer, and it does sort of refer more to, “let's consider the whole patient”.   Dr Nevel: Yeah, rather than making a blanket statement that doesn't apply to maybe everybody.   Dr Park: Yeah. And you also asked about future.   Dr Nevel: Yeah. Where do you think things are heading in the future? What's exciting in research, and if you had a crystal ball, what do you think we're going to figure out in the next ten years that's going to impact care?   Dr Park: Well, fortunately, for patients with subarachnoid hemorrhage and for people like me who are treating patients with subarachnoid hemorrhage, there's a lot going on. So, I mentioned lumbar drainage because there was a very nice trial that was published - I think we'll see in the next few years how much of that diffusion of innovation travels across the country in the world about the usage of this. There are some who point to prior studies that may have conflicting results and so want to wait and see it be validated. Others are pretty convinced, you know, by the quality of the study that was done and are trying to incorporate it into their protocols now. I think we're going to see more usage and more study of things like intravenous milrinone, early stellate ganglion blockade, intraventricular nicardipine, and even maybe optimized goals for cerebral perfusion or blood pressure - and this is for looking at a myriad of outcomes, including the prevention and treatment of vasospasm and ischemia, improving outcomes, and preventing infarction. There's also a lot to come about early brain injury (and I kind of talked about that). It's like a seventy-two-hour period window after subarachnoid hemorrhage, and it comprises processes like microcirculatory dysfunction, blood-brain barrier breakdown, and things like oxidative cascades, et cetera. While currently, there doesn't exist any practice besides, like, the nuance and expert determination of blood pressure goals prior to aneurysm securement, I think this will be an area that hopefully will become a target for intervention, because it has an independent and influential impact on poor outcomes for subarachnoid hemorrhage patients. So, watch the space.   Dr Nevel: Yes, absolutely. Looking forward to seeing what comes. Well, thank you so much for talking to me, Dr Park, and joining me on Continuum Audio.   Dr Park: It was my pleasure.   Dr Nevel: Again, today, I've been interviewing Dr Soojin Park, whose article on emergent management of spontaneous subarachnoid hemorrhage appears in the most recent issue of Continuum in neurocritical care. Be sure to check out Continuum Audio episodes from this and other issues. And thank you to our listeners for joining today.   Dr Monteith: This is Dr Teshamae Monteith, Associate Editor of Continuum Audio. If you've enjoyed this episode, you'll love the journal, which is full of in-depth and clinically relevant information important for neurology practice - and right now, during our spring special, all subscriptions are 15% off. Go to Continpub.com/Spring2024 or use the link in the episode notes to learn more and take advantage of this great discount. This offer ends June 30, 2024. AAN members, go to the link in the episode notes and complete the evaluation to get CME. Thank you for listening to Continuum Audio.

It's no secret that handling medical data is complicated and time-consuming. Of course, the goal is to address the patient buried beneath the in-depth patient notes, multiple EHRs, and drug prescriptions. Perhaps technology can make that a bit easier! In this episode, we have the special privilege of hearing the research of two graduate students who have found the biggest pain points in our primary healthcare system and have brainstormed ways that technology, especially emerging AI, can help address these issues. Every listener will find a way to relate to the stories shared in this episode, and we hope our discussion about the short-term and long-term goals for the application of AI in medicine makes you optimistic about the future of primary healthcare! Trevor Martinez is a current master's student at the University of Pennsylvania pursuing an MSE in bioengineering. He is primarily interested in the fields of biomedical data science, healthcare, and medical devices. Pavan Patel is a graduate student at the University of Pennsylvania pursuing a dual MBA/MA from the Wharton School and the Lauder Institute, and he is also a computer science student at Penn Engineering. Previously, he worked in healthcare at Hazel Health and in private credit and equity at Bain Capital and CI Capital. It was great to hear what these young minds came up with, and they graciously shared some of the visuals they created to explain information silos. If you want to view the visuals along with the podcast, make sure to watch via our YouTube channel! We also had Dr. Ross Koppel hop on this episode. Dr. Koppel is a professor of sociology and medical informatics at the University of Pennsylvania, a Senior Fellow at Penn's Center for Public Health Initiative, and a Senior Fellow at Penn's Institute for Biomedical Informatics. His hundreds of articles focus on the cybersecurity, usability, and ethics of healthcare information technology and has greatly impacted the field's understanding of how we can improve human-computer interactions and better integrate HIT into hospital workflow. He was the perfect person to chime in on Trevor and Pavan's research! Finally, we had the great pleasure of welcoming a new co-host to our podcast! Dr. Stacy Iannone is the project manager for Dr. Johnson's lab, which researches computationally-enhanced healthcare. She brings with her an extensive background in clinical research. We were so excited to have her share her insights and experiences on this episode!  We really enjoyed discussing these students' insightful research and debating how we see AI entering the conversation. We hope you enjoy listening!   Mentioned in this episode: -”5 Tactics to Break Down Silos and Support Cross-Functional Collaboration” by Rhonda Stewart   Check out Rhett McDaniel's newest album Rhett McDaniel's Contribution to the Noise Floor   Make sure to follow our Instagram, Twitter, Threads, and TikTok accounts so you can stay up to date on all our new content. Also don't forget to follow us on Twitter @kbjohnsonmd. You can also find us wherever you typically get your podcasts. Thanks for listening!   Instagram: @infointhernd  Twitter: @infointhernd  Threads: @infointhernd  TikTok: @infointhernd  Website: https://www.kevinbjohnsonmd.net/podcast

EDUCATING THE IMMUNE RESPONSE. Andrea Califano is President of the Chan Zuckerberg Biohub New York. He is the Clyde and Helen Wu Professor of Chemical and Systems Biology at Columbia University Irving Medical Center, and also holds appointments in the Departments of Biochemistry & Molecular Biophysics, Biomedical Informatics, and Medicine. The Chan Zuckerberg Biohub Network of scientific institutes is supported by and partners with the Chan Zuckerberg Initiative to help researchers cure, prevent, or manage all diseases by the end of the century. “We are trying to take over where natural evolution has stopped.” “We need to learn more about mechanisms that we can harness to generate universal therapies.” “For Alzheimer's and Parkinson's, we are certainly hoping to accomplish being able to detect them at a stage where they are still treatable.”

What happens when you bring together three previous heads of biomedical informatics departments? A lot of reflection, storytelling, and joking around! In this episode, we bring together guests who have previously run informatics departments and are still involved in various ways, whether through research, teaching, or creating content to educate the public. We get the inside scoop into all the administrative responsibilities of these department chairs, their favorite parts of the job, and how they hope to see the field respond to modern technological developments like AI. We had some fantastic guests on this episode. Dr. Bill Hersh is the Associate Professor of Medicine, Medical Informatics, and Public Health at Oregon Health & Science University in Portland, Oregon. He was also the inaugural chair of the Department of Medical Informatics and Clinical Epidemiology at OHSU when the department began in 2003. He is a researcher of electronic health record data, has authored more than 200 scientific papers, and conceptualized the first offering of the American Medical Informatics Association's ten-by-ten virtual informatics training. Having just recently stepped down from his chair position, Bill now runs the Informatics Professor blog which teaches about prominent topics in biomedical informatics. Dr. George Hripcsak is the Vivian Beaumont Allen Professor at Columbia University's Department of Biomedical Informatics. He led Columbia University's informatics department for 15 years. He currently leads the Observational Health Data Sciences and Informatics coordinating center, which organizes the health records of almost one billion patients. He has authored over 350 scientific papers, serves as the PI for Columbia's recruitment center for the All of Us precision medicine program, and focuses his research on developing the next generation of health record systems. Finally, our host turned guest for this episode! Dr. Kevin Johnson is the David L. Cohen University Professor of Pediatrics, Biomedical Informatics, and Science Communication at the University of Pennsylvania. Before Penn, he was the Chair of the Department of Biomedical Informatics at Vanderbilt University from 2012-2022. He currently researches how to integrate advanced technology and artificial intelligence with health documentation systems. And, of course, he loves sharing informatics with a wider audience whether through his children's books, his documentary projects, or this podcast! Thanks to our host Harris Bland and our production assistant Ellie Shuert for leading us through this discussion. We loved reminiscing together, and we hope you enjoy getting an inside look into informatics departments! Make sure to follow our Instagram, Twitter, Threads, and TikTok accounts so you can stay up to date on all our new content. Also don't forget to follow us on Twitter @kbjohnsonmd and @htbland21. You can also find us wherever you typically get your podcasts. Thanks for listening! Instagram: @infointhernd Twitter: @infointhernd Threads: @infointhernd TikTok: @infointhernd Website: https://www.kevinbjohnsonmd.net/projects

In this World Shared Practice Forum Podcast, authors of the newly released publication, International Consensus Criteria for Pediatric Sepsis and Septic Shock, review their research and findings for treating and caring for children with sepsis and septic shock. They discuss how using the novel Phoenix Sepsis Score guided the development of this new globally applicable research model. LEARNING OBJECTIVES Upon listening to this presentation, learners will be able to: - Describe the goals and development of the new Phoenix Sepsis Score - Discuss how clinicians can apply the score in clinical practice and for research endeavors - Explain the challenges and limitations of using the Phoenix Sepsis score in lower-resource settings AUTHORS Luregn Schlapbach, MD, PhD, Prof, FCICM Head, Department of Intensive Care and Neonatology University Children's Hospital in Zurich, Switzerland Scott Watson, MD, MPH Professor of Pediatrics University of Washington School of Medicine Associate Division Chief Division of Pediatric Critical Care Medicine Seattle Children's Hospital Claudio Flauzino de Oliveira, MD, PhD Researcher Latin American Sepsis Institute Halden Scott, MD, MSCS Director of Research Section of Pediatric Emergency Medicine University of Colorado School of Medicine Children's Hospital Colorado Tellen Bennett, MD, MS Professor of Biomedical Informatics and Pediatrics Vice Chair of Clinical Informatics Department of Biomedical Informatics University of Colorado School of Medicine Attending Physician Pediatric Intensive Care Unit Children's Hospital Colorado Traci Wolbrink, MD, MPH Senior Associate in Critical Care Medicine; Department of Anesthesiology, Critical Care and Pain Medicine Boston Children's Hospital Associate Professor of Anesthesia Harvard Medical School DATES Initial publication date: March 26, 2024. ARTICLES REFERENCED Development and Validation of the Phoenix Criteria for Pediatric Sepsis and Septic Shock https://jamanetwork.com/journals/jama/fullarticle/2814296 Global Study of Disease https://pubmed.ncbi.nlm.nih.gov/31954465/ Sepsis-3 https://jamanetwork.com/journals/jama/fullarticle/2492881 Please visit: http://www.openpediatrics.org OPENPediatrics™ is an interactive digital learning platform for healthcare clinicians sponsored by Boston Children's Hospital and in collaboration with the World Federation of Pediatric Intensive and Critical Care Societies. It is designed to promote the exchange of knowledge between healthcare providers around the world caring for critically ill children in all resource settings. The content includes internationally recognized experts teaching the full range of topics on the care of critically ill children. All content is peer-reviewed and open access-and thus at no expense to the user.For further information on how to enroll, please email: openpediatrics@childrens.harvard.edu CITATION Schlapbach LJ, Bennett TD, de Oliveira CF, Scott HF, Watson RS, O'Hara JE, Wolbrink TA. New Phoenix Pediatric Sepsis Criteria. 03/2024. OPENPediatrics. Online Podcast. https://soundcloud.com/openpediatrics/new-phoenix-pediatric-sepsis-criteria.

Drs. Shaalan Beg and Travis Osterman discuss a machine learning model, recently featured in JCO Clinical Cancer Informatics, that uses electronic health record data to accurately predict the effectiveness and toxicity of treatment with immune checkpoint inhibitors. The new AI model can be used to provide a personalized risk-benefit profile, inform therapeutic decision-making, and improve clinical trial cohort selection.   TRANSCRIPT Dr. Shaalan Beg: Hello, and welcome to the ASCO Daily News Podcast. I'm Dr. Shaalan Beg, your guest host for today. I am an adjunct associate professor at UT Southwestern's Simmons Comprehensive Cancer Center.  Cancer immunotherapy has transformed the treatment landscape by providing new and effective treatment options for many solid and hematologic malignancies. But while many patients experience a remarkable response to immune checkpoint inhibitors, other patients can suffer life-threatening immune checkpoint toxicities. Today, we will be discussing a machine learning solution that can assess a patient's immune checkpoint inhibitor risk-benefit profile based primarily on routinely collected structured electronic health record data. This novel AI solution was recently featured in JCO Clinical Cancer Informatics, and I am delighted to welcome one of the report's authors, Dr. Travis Osterman. He is an associate vice president for research informatics and associate professor in the Department of Biomedical Informatics and the Division of Hematology Oncology at Vanderbilt University Medical Center in Nashville, Tennessee. Dr. Osterman also serves as the director of cancer clinical informatics at the Vanderbilt Ingram Cancer Center.  Our full disclosures are available in the transcript of this episode, and disclosures related to all episodes of the podcast are available at asco.org/DNpod.  Dr. Osterman, it's great to have you on the podcast today.   Dr. Travis Osterman: Thanks, Shaalan. It's great to be here. Thank you for the invitation.   Dr. Shaalan Beg: Congratulations on your recently published article in the JCO CCI titled "Prediction of Effectiveness and Toxicities of Immune Checkpoint Inhibitors Using Real World Patient Data." Why did you decide to address this specific problem?   Dr. Travis Osterman: I am a practicing medical oncologist at Vanderbilt, I specialize in thoracic malignancies. Immunotherapy has been a significant part of my practice from the beginning. And I think for all of us, we have patients in our practices that are tremendous responders. I have stories of my patients, a few of which, at least, are able to get years of benefit even after stopping therapy, and potentially some even stage 4 patients that are amazingly seemingly cured after their treatments. But I also have patients that experience severe toxicities, some of those are life-threatening or life ending, but many of those carry morbidity. In my population, I see a lot of pneumonitis, and that really alters patients' quality of life. And the biggest conversation I have with patients is: “How do I know which of these outcomes I'm going to have, if I'm going to get benefits from these therapies or am I going to get one of these side effects or toxicities?” And we set out to try to answer that question with data.   Dr. Shaalan Beg: When electronic medical records started to make their way into the clinic, I remember all of us thinking about the wonderful applications where we could use the data to help guide the clinical care, assign the right treatment for the right patient at the right time, and learn from other patients' experiences to improve the care of the person who's in front of us. And my personal opinion is that we haven't realized our electronic medical records' potential to that extent. And efforts like the one you published in JCO CCI is the culmination of one of the efforts, and I can only imagine how much time and effort it must have taken to develop that and we're hoping is the first of many more to come. For our listeners, can you talk us through the steps required to develop such a tool, and why now is the right time, and why we're starting to see these evolve?   Dr. Travis Osterman: This project would not have been possible 20 years ago. It relies on having what we would call structured data available for our patients that are receiving cancer care, so that's vital signs, laboratory values, and diagnoses, all of the things that we routinely collect in the electronic health record. So that is step 1. This project required that those systems be not just in place at academic centers but be widely available because our goal is to set up systems that will be able to transform cancer care, not just at academic institutions, but for the entire practice of oncology.  The second piece is you need enough data to be able to train these models. And so, we needed to be practicing with checkpoint inhibitors long enough to see patients that had toxicities, to see patients that had benefit, and then to jump into the data science of actually trying to learn from them. And so this really was the culmination of systems put in place by a lot of people before us and then really the right time [when] we started to have now enough data to really start to learn from.   Dr. Shaalan Beg: The publication discusses the steps of how you validated your tool. Talk me through how you see this being applied to the point of care for the next time you are about to start an immune checkpoint inhibitor for your lung cancer patient?   Dr. Travis Osterman: I think there are two different primary lanes that these types of models can be applied. In the drug development space, I think many of us are familiar that many assets, many drugs that are in the development pipeline are halted because of adverse events in toxicity profiles, but we also realize that not everyone gets those toxicities. And so we envision a future where before a drug that's in the drug development pipeline is taken out of the development pipeline, potentially, you could screen patients that are at lowest risks of actually having side effects from that immunotherapy and only screen those patients into the trial and that would potentially make more drugs available to more patients going forward. So I think that that's 1 lane.  I think the other lane in clinical practice is, let's say that I'm treating a patient who we determine has an increased risk for colitis. Instead of only seeing that patient back in 3 weeks, potentially, now, what if I had one of our nurse navigators, call the patient at weekly check-ins between visits to check in and see whether or not they were having any episodes of diarrhea and trying to intervene earlier. That might allow us to keep patients both out of the hospital, out of the emergency department to treat their symptoms more quickly to decrease the severity of their toxicity and keep them on treatments, especially if they're receiving benefit from it. So, I think there's an opportunity to improve both drug development and making more drugs available to patients and then also to identify patients that are at risk for toxicity, and then to do interventions to help mitigate those risks. Really, the idea of precision risk mitigation.   Dr. Shaalan Beg: One of the problems with electronic medical record-based tools in the past has been that they don't evolve with time. We develop it, we set it, we deploy it, and it almost feels, to the users at least, that it stops evolving after that. With novel therapeutic agents coming into the clinic, we're seeing new ADCs, new novel checkpoint inhibitors entering the market. How do you envision tools such as yours to be refreshed so they can stay relevant with the modern armamentarium of medications which are being used?   Dr. Travis Osterman: So, if you ask any data scientist, the most requested item they will ask for is more data. And so, this initial set of models that we've described in this publication were trained exclusively on a single institution's data at Vanderbilt University Medical Center as we continue both to see more patients here, and then ideally look forward to collaborations with other centers. We expect that these models will continue to be refined and that the performance will improve as we increase the amount of training data, and we hope that that will do 2 things. One, it will counteract the kind of model drift that you described. But then two, it will allow us to ask some more specific questions that honestly, we weren't really powered to answer in our study here. For instance, we didn't look at cardiac toxicity, which is a concern if you're giving a CTLA-4 along with a PD-1 or PD-L1 inhibitor more so than single agent immunotherapy. We just don't have enough events to be able to train models on that. But with future collaborations, that would be a question we would love to tackle as well.  One of the things that's interesting about the implementation of these models is that we found many of the features that I would have expected to find as a practicing oncologist. For instance, when we're trying to predict the toxicity of pneumonitis inflammation of the lung, I as an oncologist would think that many of my patients that have COPD or interstitial lung disease at baseline seem to be at a higher risk. And so that's one of the features that I was looking to come out in the model. And that's exactly what we found. That was one of the contributing features that helps us predict a higher risk of pneumonitis. But what's interesting is that's certainly not the only feature; there end up being about a dozen features that are in that space that help predict that toxicity.   Similarly, for colitis, we found that the combination of receiving a CTLA-4 inhibitor in addition to a PD-1 or PD-L1 inhibitor, that combination together, which would increase risk for colitis, which is well-documented in our literature. So these models are not entirely black boxes. We've published the top features of these models that contribute to our predictions. And I think clinically the challenge for me has always been if I have a patient who has COPD, but it's pretty well-controlled and their O2 sat is normal, how does that patient's risk bring pneumonitis compared to someone who has poorly controlled COPD with low O2 sat at baseline, etc.? And so these models are really designed to help tease out some of those nuances.   Dr. Shaalan Beg: There are so many wonderful applications to use preexisting data that can improve the lives of our patients and frankly that can improve the work experience for clinicians. They can be used for risk stratification using these preexisting data. Can you talk a little bit about what are the barriers that people face or that your team faced in developing these tools, and what has changed or what's expected to change in the coming years to allow people to continue developing tools such as what was described?   Dr. Travis Osterman: I think it's important to realize that we are not unique in addressing this problem. This is a problem that I think has been a focal point of our cancer informatics community for the better part of the last, probably, decade. I think one of the things that distinguishes the work that we've done here is really this idea of clinical utility. And what I mean is we focused on data that would be collected at any routine oncology visit in the U.S., and I would argue worldwide, to use as features in our model. So, we're not running complex genetic testing that may or may not be paid for. We're not asking for new laboratory values to be sent or for extensive questionnaires that aren't already in clinical practice. We're using pieces that are already being connected into the pipeline of oncology practices, and I think that's one of the differentiators of this project versus many others in this space.  Right now, these are only EHR data. We have a part of our project that's looking at imaging data and whether that adds value. But one of the pieces that I always advocate for, if we're going to ask practices for instance to upload these imaging files or to send a CD to a central location to improve the outcome, that's harder to work into an oncologist workflow than if all the data are already there in the health record and you can click a button and calculate this person's risk profile. And so, we've really tried to be pragmatic about our approach as we've entered this realm and that's been a real focus of our team.   Dr. Shaalan Beg: Many of the listeners of today's podcast are busy clinicians, and you talked about how the idea for this project came from the problem you witnessed in your clinic. How can clinicians continue to be involved in such initiatives or drive these initiatives at their own institutions, in office situations where they may not have the resources that your team has? Can you speak to national efforts or collaborations in this regard?   Dr. Travis Osterman: Yeah. So, first of all, I would invite really anyone to reach out to our team, if they're in a position where they'll be interested in validating our models at their local institutions. We would be happy to work with them to provide the models to see how they perform on their data sets. I think that that's an important part of the academic review and informatics is to see how these models translate into other health care settings. And we also are interested to make sure that what I said in the prior discussion is correct, that we're only incorporating things that other institutions already have. So I think that that's certainly one.  The second is a part of a large National Cancer Data standard project called mCODE, the Minimal Common Oncology Data Elements, I chair that executive committee. And one of the pieces of that is trying to find a way to make all of these kinds of structured data interoperable between health records. And so I would just encourage all of my colleagues to always advocate for interoperability and, when there's an option, to store data in a way that makes that data more easily shared in the same formats between institutions. I think that that will pay many dividends for our field going forward. And I just want to plug all the team at mCODE for their work in this and maybe there'll be an integration and connection between mCODE and our project in the future.   Dr. Shaalan Beg: Thank you very much Dr. Osterman for sharing your insights with us today on the ASCO Daily News Podcast.   Dr. Travis Osterman: Thanks, Shaalan. Have a great day.   Dr. Shaalan Beg: And thank you to all our listeners for your time today. You'll find a link to Dr. Osterman's article in the transcript of this episode. And if you value the insights that you hear on the ASCO Daily News Podcast, please take a moment to rate, review, and subscribe wherever you get your podcast.   Disclaimer: The purpose of this podcast is to educate and to inform. This is not a substitute for professional medical care and is not intended for use in the diagnosis or treatment of individual conditions. Guests on this podcast express their own opinions, experience, and conclusions. Guest statements on the podcast do not express the opinions of ASCO. The mention of any product, service, organization, activity or therapy should not be construed as an ASCO endorsement.   Find out more about today's speakers: Dr. Shaalan Beg @ShaalanBeg Dr. Travis Osterman @TravisOsterman   Follow ASCO on social media:  @ASCO on Twitter  ASCO on Facebook  ASCO on LinkedIn    Disclosures: Dr. Shaalan Beg: Employment: Science 37 Consulting or Advisory Role: Ipsen, Array BioPharma, AstraZeneca/MedImmune, Cancer Commons, Legend Biotech, Foundation Medicine Research Funding (Inst.): Bristol-Myers Squibb, AstraZeneca/MedImmune, Merck Serono, Five Prime Therapeutics, MedImmune, Genentech, Immunesensor, Tolero Pharmaceuticals   Dr. Travis Osterman: Stock and Other Ownership Interests: Faculty Coaching Honoraria: Amazon Web Services Consulting or Advisory Role: eHealth, AstraZeneca, Outcomes Insights, Biodesix, MD Outlook, GenomOncology, Cota Healthcare, Flagship Biosciences, Microsoft, Dedham Group, Oncollege Research Funding: GE Healthcare, Microsoft, IBM Watson Health Travel, Accommodations, Expenses: GE Healthcare, Amazon Web Services

Welcome to "The Bible in Today's World", the show that compares today's world with the Word of God. In general and specifically, are we following the Bible in our daily walks? Is society demanding that we follow the Word of God in all that we do? Does our Almighty Father look upon us and frequently say, "Well done, good and faithful servant!" - or is He thinking of us as He thought/thinks of Sodom and Gomorrah? On today's show, we will explore "Your Favorite Bible Verse". We will also play Part 2 of my interview with DR. ROBERT RASCHKE. DR. ROBERT RASCHKE, a clinical professor of Internal Medicine and Biomedical Informatics at the University of Arizona College of Medicine – Phoenix, will join us to discuss his battle with COVID, while he was on the front lines in the Intensive care Unit. Plus, we will discuss his book, written under the name of "DR. ANTHONY ECKSHAR", "One Hundred Prayers: God's Answer to Prayer in a Covid ICU". FROM HIS WEBSITE: "On March 20, 2020, anticipating the struggle of a lifetime against Covid pneumonia in the Intensive Care Unit (ICU) where I worked, I resolved to say a prayer a day for a hundred days. Over the next two years, my partners and I witnessed the deaths of over 400 patients from Covid pneumonia despite the highest levels of life support we could provide. I survived the fear, exhaustion, dehumanization and anger I experienced along the way only through my commitment to prayer. In this book, I record 272 of these prayers and the story of what happened to our patients, their families and our ICU team. I learned that the only thing required to receive the gift of faith is to pray for it, and that even a regular person like me can call forth miracles in God's name." Exploring life since 1960, Anthony Eckshar MD has practiced Internal Medicine and Critical Care Medicine in the Phoenix Metropolitan area since 1986. He is a Clinical Professor of Medicine, and although predominantly a bedside provider, also an author of over sixty peer-reviewed research articles. He has taught well over a thousand resident physicians and 500 medical students during the course of his career, has received several teaching awards and was elected to the Gold Humanism Honor Society by the medical students at the University of Arizona. Anthony is happily married since 1984, with two adult children. Anthony Eckshar MD was raised in the Catholic faith (even served as an altar boy) and became a born-again Christian in 1993. He always had an abiding sense that God loved him – one of the greatest gifts a person can receive. Although his faith has waxed and waned over the years, it became increasingly and inexorably inter-twined with his patient care. Dr. Eckshar's prayer life blossomed under the strain of the Covid pandemic. In the spring of 2020, he started praying in ernest. At first, he prayed mostly for his own safety, but as the months went by, he began focusing on others, culminating in praying for every ICU patient every day. Many only pray during adversity, and Eckshar has come to believe that is why adversity is allowed. He believes we were created to share the love of Jesus, but in our stubbornness, we sometimes need to be forced to make a choice. When we chose the path of prayer, “in all things God works for the good of those that love him.” Eckshar sees his job as a holy vocation. Even when incredibly discouraging things are experienced in the ICU, love is stronger. To survive the job, and to provide the best medical care to his patients, Anthony Eckshar MD has learned to love them, in whatever way he can find. He believes Dr. Francis Peabody's words, from almost 100 years ago, still hold true: “The secret of the care of the patient, is in caring for the patient.” https://www.100prayers.org

Welcome to "The Bible in Today's World", the show that compares today's world with the Word of God. In general and specifically, are we following the Bible in our daily walks? Is society demanding that we follow the Word of God in all that we do? Does our Almighty Father look upon us and frequently say, "Well done, good and faithful servant!" - or is He thinking of us as He thought/thinks of Sodom and Gomorrah? On today's show, we will explore "Identifying Sin", Part 8". We will also play Part 1 of my interview with DR. ROBERT RASCHKE. DR. ROBERT RASCHKE, a clinical professor of Internal Medicine and Biomedical Informatics at the University of Arizona College of Medicine – Phoenix, will join us to discuss his battle with COVID, while he was on the front lines in the Intensive care Unit. Plus, we will discuss his book, written under the name of "DR. ANTHONY ECKSHAR", "One Hundred Prayers: God's Answer to Prayer in a Covid ICU". FROM HIS WEBSITE: "On March 20, 2020, anticipating the struggle of a lifetime against Covid pneumonia in the Intensive Care Unit (ICU) where I worked, I resolved to say a prayer a day for a hundred days.  Over the next two years, my partners and I witnessed the deaths of over 400 patients from Covid pneumonia despite the highest levels of life support we could provide.  I survived the fear, exhaustion, dehumanization and anger I experienced along the way only through my commitment to prayer.  In this book, I record 272 of these prayers and the story of what happened to our patients, their families and our ICU team.  I learned that the only thing required to receive the gift of faith is to pray for it, and that even a regular person like me can call forth miracles in God's name." Exploring life since 1960, Anthony Eckshar MD has practiced Internal Medicine and Critical Care Medicine in the Phoenix Metropolitan area since 1986. He is a Clinical Professor of Medicine, and although predominantly a bedside provider, also an author of over sixty peer-reviewed research articles. He has taught well over a thousand resident physicians and 500 medical students during the course of his career, has received several teaching awards and was elected to the Gold Humanism Honor Society by the medical students at the University of Arizona.  Anthony is happily married since 1984, with two adult children. Anthony Eckshar MD was raised in the Catholic faith (even served as an altar boy) and became a born-again Christian in 1993. He always had an abiding sense that God loved him – one of the greatest gifts a person can receive. Although his faith has waxed and waned over the years, it became increasingly and inexorably inter-twined with his patient care.  Dr. Eckshar's prayer life blossomed under the strain of the Covid pandemic. In the spring of 2020, he started praying in ernest. At first, he prayed mostly for his own safety, but as the months went by, he began focusing on others, culminating in praying for every ICU patient every day. Many only pray during adversity, and Eckshar has come to believe that is why adversity is allowed.  He believes we were created to share the love of Jesus, but in our stubbornness, we sometimes need to be forced to make a choice. When we chose the path of prayer, “in all things God works for the good of those that love him.” Eckshar sees his job as a holy vocation. Even when incredibly discouraging things are experienced in the ICU, love is stronger. To survive the job, and to provide the best medical care to his patients, Anthony Eckshar MD has learned to love them, in whatever way he can find. He believes Dr. Francis Peabody's words, from almost 100 years ago, still hold true: “The secret of the care of the patient, is in caring for the patient.” https://www.100prayers.org

This week, we're super excited to chat with Brian Anderson, co-founder of CHAI, Coalition for Health AI, and Chief Digital Health Physician at MITRE. CHAI is a community of academic health systems, organizations, and expert practitioners of artificial intelligence and data science. Brian leads research and development efforts across major strategic initiatives in digital health, partnering with the US government and private sector companies.  Prior to joining MITRE, Anderson led the Informatics and Network Medicine Division at athenahealth, where he launched a new model of clinical decision support leveraging artificial intelligence. He has also served on several national health information technology committees in partnership with the Office of the National Coordinator (ONC). On top of all that, Brian is also a Harvard Medical School Associate Professor of Biomedical Informatics and senior advisor for ARPA-H in Clinical Trial Innovation. Anderson completed his clinical training at Massachusetts General Hospital and completed his B.A. and M.D. degrees at Harvard College and Harvard Medical School. In this episode, we talk about Brian's career journey from clinical practice to digital health, CHAI's efforts to establish AI process standards for healthcare, the concept of a federated network of assurance labs, and advice for the health AI innovation community. 

We've talked a lot about technological advancements in the medical field, but today, we're going to be examining them from a new lens to understand the possible downsides and how to fix it. Joining us to provide a fresh perspective is Dean Sittig, a professor at the UTHealth School of Biomedical Informatics. Tune in to hear about a wide range of topics including how the electronic health record system inadvertently disrupted work-life balance by increasing clinicians' workload, finding an efficient and safe balance between trusting AI to make decisions and having to double-check everything on our own, the economical consequences of replacing jobs in healthcare, and how technologies like ChatGPT can be turned for nefarious purposes when in the wrong hands. --- Send in a voice message: https://podcasters.spotify.com/pod/show/learnon/message

Data-backed decision-making is crucial in healthcare, but it can often be challenging, especially for rural hospitals with limited resources. However, from this week's conversation on Rural Health Leadership Radio, we learned that using, analyzing, and understanding community health data is more than achievable for rural hospitals.  Join us this week as we engage in a conversation with Liz Craker, Health Systems Support Coordinator for the Office of Primary Care and Rural Health within the Utah Department of Health and Human Services, and John Wadsworth, Co-Founder of REDiHealth. We discuss how leveraging data to understand patient populations can help increase access to care and manage care gaps in rural areas. Liz and John discuss the importance of their collaboration with each other and the rural hospitals they serve. We also delve into the exciting aspects of rural health, including fast-paced innovation, creativity, and how they are assisting rural hospitals in using data to support these efforts. “The cadence and amount of innovation in rural areas is staggering to when people understand and trust their data.” -John Wadsworth Liz Craker serves as the Health Systems Support Coordinator for the Office of Primary Care and Rural Health at the Utah Department of Health and Human Services. She earned her BA in Journalism from Franklin College and her MBA in Healthcare Administration from Indiana Wesleyan University. She has over 30 years of leadership, project management, non-profit management, grant writing, public relations, patient advocacy, and health equity experience. She previously worked in a Federally Qualified Health Center advocating for insurance enrollment and health literacy before coming to the Utah Department of Health and Human Services. John Wadsworth is a co-founder at REDiHealth where he helps healthcare institutions to turn data into actionable assets. He is skilled at designing and implementing analytic strategies resulting in operational, clinical, and financial improvements. His passion for the healthcare industry stems from helping communities leverage data to improve community health with the desired result of strengthening the overall quality of life. John earned his Bachelor of Science in Human Genetics from The University of Utah and his Master of Science in Biomedical Informatics from the University of Utah School of Medicine.

Artificial intelligence has the power to transform the way researchers study bacteria and develop new treatments – and we're already seeing the benefits in healthcare. In part three, host Jeremiah Owyang and expert guests shed light on how AI expedites and enhances analyses, revolutionizing the search for new antibiotics. The benefits of AI extend to analyzing bacterial DNA, uncovering vulnerabilities, and potentially predicting bacterial evolution. This innovative technology aids scientists in pinpointing the most promising antibiotic candidates from a sea of possibilities and helps to streamline drug development.Featured Guests:Adrian Egli, Director, Institute of Medical Microbiology, University of ZurichLei Zhang, Executive Director of Medicinal Chemistry, Pfizer Medicine DesignMarinka Zitnik, Assistant Professor, Department of Biomedical Informatics, Harvard Medical School; Co-founder, Therapeutics Data Commons Season 3 of Science Will Win is created by Pfizer and hosted by Jeremiah Owyang, entrepreneur, investor, and tech industry analyst. It's produced by Wonder Media Network.

Artificial intelligence could be an essential tool in the fight against antibiotic resistant bacteria – and data is a key part of developing that tool. In part two of this four-part series, expert guests break down the mechanics behind artificial intelligence and machine learning. As host Jeremiah Owyang traces the evolution of these tools in healthcare, he highlights the crucial role of data for understanding the problem of antibiotic resistance. Featured Guests:Adrian Egli, Director, Institute of Medical Microbiology, University of ZurichRanjit Kumble, Vice President of Enterprise Data Science and Advanced Analytics, PfizerMarinka Zitnik, Assistant Professor, Department of Biomedical Informatics, Harvard Medical School; Co-founder, Therapeutics Data Commons Season 3 of Science Will Win is created by Pfizer and hosted by Jeremiah Owyang, entrepreneur, investor, and tech industry analyst. It's produced by Wonder Media Network.

Our coverage of Anesthesiology 2023, continues. It's the annual meeting of the American Society of Anesthesiologists (ASA); it's the largest and most important gathering of anesthesiologists in the world and we're your free front row seat. For more on the ASA go here: https://www.asahq.org/ Check out our YouTube page for a record of the live stream video of this podcast: https://www.youtube.com/@topmedtalk7687/streams This year's conference was buzzing with discussion about artificial intelligence (AI) and in this conversation we get into the nuts and bolts of it. How will AI change our practice in the next 5 years? Who will AI replace, or will it instead become a tool which all healthcare providers welcome? Where are we in now the "hype cycle" of this new technology? Featuring Desiree Chappell and Mike Grocott with their guests; Ronald G. Pearl, ASA committee on Innovation, Professor and Chair, Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine and Peter V. Killoran, ASA Committee on Informatics and Information Technologies, Associate Professor of Anesthesiology, Assistant Professor, Biomedical Informatics at The University of Texas Health Science Center, Houston.

In the seventh episode of the series, Professor Lennox is joined by Cynthia Germanotta and Dr Claudia-Santi F. Fernandes from Born This Way Foundation, and Professor Mina Fazel from Oxford's Department of Psychiatry, to examine how to best help support the mental health of young people. Cynthia Germanotta is President and Co-Founder of Born This Way Foundation and Global Goodwill Ambassador for Mental Health at the World Health Organization. Cynthia co-founded Born This Way Foundation with her daughter, Lady Gaga, in 2012. Since then, the Foundation has connected with tens of thousands of young people across the world, launched innovative youth-focused programming, and conducted cutting edge research.  Dr. Claudia-Santi F. Fernandes is Born This Way Foundation's Director of Research and Evaluation. Dr. Fernandes spearheads the Foundation's research strategy, providing scientific expertise in the design and implementation of youth-led initiatives and impactful programming. Dr. Fernandes also holds a faculty appointment as an assistant clinical professor of the Child Study Center and in Biomedical Informatics and Data Science at the Yale School of Medicine. Mina Fazel is Professor of Adolescent Psychiatry at the University of Oxford. Her journey into the field of child and adolescent psychiatry was driven by her interest in understanding the impact of environmental factors on mental health. Since 2019, her team has been running the OxWell Student Survey, with over 40,000 children taking part in the 2023 version of the survey, it provides invaluable information for tailoring mental health provision to meet individual needs. In this episode, they discuss some of Born This Way Foundation's activities, including the Be There Certificate and #BeKind365, how school-based interventions can help improve the mental health of young people, and the importance of kindness.

Hosts: Sabrina Hsueh, PhD Adela Grando, PhD Guest: Mor Peleg, PhD, University of Haifa's Data Science Research Center In this episode, part of a special collaboration between ACM ByteCast and the American Medical Informatics Association (AMIA)'s For Your Informatics podcast, hosts Sabrina Hsueh and Adela Grando welcome Mor Peleg, Professor of Information Systems at the University of Haifa and Founding Director and Head of its Data Science Research Center. She is Editor in Chief of the Journal of Biomedical Informatics and an international fellow of the American College of Medical Informatics (ACMI). She received AMIA's New Investigator Award for work on the GLIF3 guideline modeling language. Mor is a renowned researcher in clinical guideline-based decision support. Initially fascinated by biomedical engineering, Mor shares how she arrived at the intersection of information systems and medicine, after working in IT and completing her postdoctoral research at Stanford. She mentions her recent project, MobiGuide, which aims to narrow the gap between clinical guidance and patient needs by providing 24/7 decision support to patients and providers. With a current focus on improving the mental well-being of cancer patients through evidence-based practices such as exercise, yoga, and positive psychology. Mor also shares advice for people (especially women) looking to work in interdisciplinary fields. She emphasizes the importance of health equity and how AI can be employed in the service of detecting unfairness.

What if your doctor were a computer program? With recent quantum leaps in artificial intelligence, that's now a possibility in our lifetime. The use of AI in medicine is expanding rapidly, bringing the potential for incredible innovations – such as unprecedented access to specialized medical knowledge for rural areas – as well as big risks, like unregulated bots entrusted with too much power. Today's guests, Zak Kohane and Carey Goldberg, have just published a book together, called “The AI Revolution in Medicine: GPT-4 and Beyond.” Zak is a computer scientist, a practicing endocrinologist, and chair of the Department of Biomedical Informatics at Harvard Medical School. Carey is a longtime health and science journalist who's reported for The Boston Globe, The New York Times, WBUR, and Bloomberg. Email us at saymore@globe.com.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode, part of a special collaboration between ACM ByteCast and the American Medical Informatics Association (AMIA)'s For Your Informatics podcast, hosts Sabrina Hsueh and Adela Grando welcome Mor Peleg, Professor of Information Systems at the University of Haifa and Founding Director and Head of its Data Science Research Center. She is Editor in Chief of the Journal of Biomedical Informatics and an international fellow of the American College of Medical Informatics (ACMI). She received AMIA's New Investigator Award for work on the GLIF3 guideline modeling language. Mor is a renowned researcher in clinical guideline-based decision support. Initially fascinated by biomedical engineering, Mor shares how she arrived at the intersection of information systems and medicine, after working in IT and completing her postdoctoral research at Stanford. She mentions her recent project, MobiGuide, which aims to narrow the gap between clinical guidance and patient needs by providing 24/7 decision support to patients and providers. With a current focus on improving the mental wellbeing of cancer patients through evidence-based practices such as exercise, yoga, and positive psychology. Mor also shares advice for people (especially women) looking to work in interdisciplinary fields. She emphasizes the importance of health equity and how AI can be employed in the service of detecting unfairness.

Harry's guest this week is Dr. Isaac Kohane, chair of the Department of Biomedical Informatics at Harvard Medical School and co-author of the new book The AI Revolution in Medicine: GPT-4 and Beyond. Large language models such as GPT-4 are obviously starting to change industries like search, advertising, and customer service—but Dr. Kohane says they're also quickly becoming indispensable reference tools and office helpmates for doctors. It's easy to see why, since GPT-4 and its ilk can offer high-quality medical insights, and can also quickly auto-generate text such as prior authorization, lowering doctors' daily paperwork burden. But it's all a little scary, since there are no real guidelines yet for how large language models should be deployed in medical settings, how to guard against the new kinds of errors that AI can introduce, or how to use the technology without compromising patient privacy. How to manage those challenges, and how to use the latest generation of AI tools to make healthcare delivery more efficient without endangering patients along the way, are among the topis covered in Dr. Kohane's book, which was co-written with Microsoft vice president Peter Lee and journalist Carey Goldberg.For a full transcript of this episode, please visit our episode page at http://www.glorikian.com/podcast Please rate and review The Harry Glorikian Show on Apple Podcasts! Here's how to do that from an iPhone, iPad, or iPod touch:1. Open the Podcasts app on your iPhone, iPad, or Mac. 2. Navigate to The Harry Glorikian Show podcast. You can find it by searching for it or selecting it from your library. Just note that you'll have to go to the series page which shows all the episodes, not just the page for a single episode.3. Scroll down to find the subhead titled "Ratings & Reviews."4. Under one of the highlighted reviews, select "Write a Review."5. Next, select a star rating at the top — you have the option of choosing between one and five stars. 6. Using the text box at the top, write a title for your review. Then, in the lower text box, write your review. Your review can be up to 300 words long.7. Once you've finished, select "Send" or "Save" in the top-right corner. 8. If you've never left a podcast review before, enter a nickname. Your nickname will be displayed next to any reviews you leave from here on out. 9. After selecting a nickname, tap OK. Your review may not be immediately visible.That's it! Thanks so much.

Information pollution is just the beginning. We're in for an uncomfortable ride. This podcast is intended for US healthcare professionals only. To read a full transcript of this episode or to comment please visit: https://www.medscape.com/features/public/machine Eric J. Topol, MD, Director, Scripps Translational Science Institute; Professor of Molecular Medicine, The Scripps Research Institute, La Jolla, California; Editor-in-Chief, Medscape Isaac S. Kohane, MD, PhD, Chair and Professor, Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts You may also like: Medscape's Chief Cardiology Correspondent Dr John M. Mandrola's This Week In Cardiology https://www.medscape.com/twic Discussions on topics at the core of cardiology and the practice of medicine with Dr Robert A. Harrington and guests on The Bob Harrington Show https://www.medscape.com/author/bob-harrington For questions or feedback, please email: news@medscape.net

In this episode of the Gaining Health Podcast, host Karli Burridge speaks with Faith Anne Heeren about Faith's experience living with obesity and undergoing metabolic and bariatric surgery as a teen.  They discuss the unique challenges that Faith faced as an adolescent, weight bias and stigma that she experienced from healthcare providers, and what providers can do to best support their patients with the chronic disease of obesity. Faith Anne Heeren is the President and Founder of OCEANS. The mission at OCEANS is Empowering young people on their weight management journey through themselves, their community, and society. Faith is a third year Doctoral Student at the University of Florida in the Department of Health Outcomes and Biomedical Informatics. Her research interests include utilizing community-engaged research methods to develop and implement interventions that are acceptable and feasible for patients living with obesity. For her dissertation, she is working on identifying pre-operative education needs for adolescents undergoing bariatric surgery.Website: www.oceanslifestyles.comTwitter: faithhh_anneInstagram: leap.of.faith.12 Support the showThe Gaining Health Podcast will release a new episode monthly, every second Wednesday of the month. Episodes including interviews with obesity experts as well as scientific updates and new guidelines for the management of obesity.If you're a clinician or organization looking to start or optimize an obesity management program, and you want additional support and resources, check out the Gaining Health website! We offer monthly and annual Memberships, which include live group coaching, a community forum to ask questions and post resources, pre-recorded Master Classes, digital resources inlcuding patient education materials and office forms, and much more! We also sell our popular Gaining Health products, including a book on developing an obesity management program, editable forms and templates, and patient education materials in our Gaining Health Shop! If you are loving this podcast, please consider supporting us on Patreon

On episode 423 of The Nurse Keith Show nursing and healthcare career podcast, Keith interviews Dr. Jing Wang, PhD, MPH, RN, FAAN, Dean and Professor of the Florida State University College of Nursing, and Adjunct Professor in Biomedical Informatics and Public Health at the University of Texas Health Science Center at Houston. In the course of their conversation, Keith and Dr. Wang discuss the future of health and healthcare and how Florida State University College of Nursing is leading in this area. Other topics include the future of aging in place, the use of wearable tech, and the concept of a “high tech high touch” approach to nursing research and education. Jing Wang, PhD, MPH, RN, FAAN is Dean and Professor of the Florida State University College of Nursing, and Adjunct Professor in Biomedical Informatics and Public Health at the University of Texas Health Science Center at Houston. She serves as the Board of Trustee at the Robert Wood Johnson Foundation and HCA Florida Capitol Hospital. She's committed to nursing workforce development and High Tech High Touch approach in nursing education, research, and collaborative practice. Her interdisciplinary research uses mobile and connected health technologies to optimize multiple-behavior lifestyle interventions and improve patient-centered outcomes among the chronically ill and aging populations with multiple chronic conditions, especially among the rural and underserved populations. Dr. Wang is an elected Fellow of the American Academy of Nursing, 2013 Robert Wood Johnson Foundation Nurse Faculty Scholar, 2015 TEDMED Scholar, 2016 Josiah Macy Jr. Foundation Macy Faculty Scholar, and Harvard Macy Scholar where she continues to teach in the “Leading Innovations in Health Care & Education” program in the Harvard Macy Institute. As a Health and Aging Policy Fellow and American Political Science Association Congressional Fellow, she was a Senior Scientific Advisor to Agency for Healthcare Research and Quality (AHRQ), and works with Centers for Medicare & Medicaid Services (CMS) and the Office of the National Coordinator for Health Information Technology (ONC) as a senior policy advisor. Wang received her MSN and PhD from the University of Pittsburgh School of Nursing, her MPH from its Graduate School of Public Health, and Graduate Certificate in Clinical and Translational Science from its School of Medicine. Connect with Dr. Jing Wang and Florida State University School of Nursing: Florida State University College of Nursing Facebook Instagram Twitter LinkedIn Dr. Wang on LinkedIn ----------- Did you know that you can now earn CEUs from listening to podcasts? That's right — over at RNegade.pro, they're building a library of nursing podcasts offering continuing education credits, including episodes of The Nurse Keith Show! So just head over to RNegade.pro, log into the portal, select Nurse Keith (or any other Content Creator) from the Content Creator dropdown, and get CEs for any content on the platform! Nurse Keith is a holistic career coach for nurses, professional podcaster, published author, award-winning blogger, inspiring keynote speaker, and successful nurse entrepreneur. Connect with Nurse Keith at NurseKeith.com, and on Twitter, Facebook, LinkedIn, and Instagram. Nurse Keith lives in beautiful Santa Fe, New Mexico with his lovely fiancée, Shada McKenzie, a highly gifted traditional astrologer and reader of the tarot. You can find Shada at The Circle and the Dot. The Nurse Keith Show is a proud member of The Health Podcast Network, one of the largest and fastest-growing collections of authoritative, high-quality podcasts taking on the tough topics in health and care with empathy, expertise, and a commitment to excellence. The podcast is adroitly produced by Rob Johnston of 520R Podcasting, and Mark Capispisan is our stalwart social media manager and newsletter wrangler.

Nathan sits down with Professor Zak Kohane, the Chair of the Department of Biomedical Informatics at Harvard Medical School, and co-author of the new book, The AI Revolution in Medicine, for which Sam Altman, OpenAI's CEO wrote the foreword to the book. Professor Kohane was among a select few people to receive early preview and research access to GPT-4 in the fall of 2022, and his approach to exploring and characterizing how AI is about to transform medicine.  The book is out May 13, 2023 and can be ordered here (or on Amazon by searching for "The AI Revolution in Medicine") Regardless of the field you're in, Dr. Kohane's combination of deep immersion, enthusiastic exploration, pragmatic optimism, risk awareness, realism, and forward-thinking vision make this a worthy example for others to study and emulate. RECOMMENDED PODCAST: The HR industry is at a crossroads. What will it take to construct the next generation of incredible businesses – and where can people leaders have the most business impact? Hosts Nolan Church and Kelli Dragovich have been through it all, the highs and the lows – IPOs, layoffs, executive turnover, board meetings, culture changes, and more. With a lineup of industry vets and experts, Nolan and Kelli break down the nitty-gritty details, trade offs, and dynamics of constructing high performing companies. Through unfiltered conversations that can only happen between seasoned practitioners, Kelli and Nolan dive deep into the kind of leadership-level strategy that often happens behind closed doors. Check out the first episode with the architect of Netflix's culture deck Patty McCord. https://link.chtbl.com/hrheretics TIMESTAMPS: (00:00) Episode preview (05:29) Dr. Isaac Kohane's story (15:00) Sponsor: Omneky (16:29) Advice to others thinking of applying AI to their own disciplines (20:33) The tension of using AI in medicine (25:04) The Trial Paradigm of AI  (31:15) Is it possible to use GPT as a healthcare provider in population studies? (34:14) The Trainee Paradigm of AI (36:09) The Partner Paradigm of AI and how doctors should use AI (40:33) AI provided interaction and how that can improve patient care (42:26) The Torchbearer Paradigm of AI (42:59) Can GPT independently conduct medical research? (46:58) The future for impactful use cases of AI in medicine (51:04) Integrating AlphaFold into language models (54:10) AI-alignment and patient data in medicine TWITTER: @CogRev_Podcast @labenz (Nathan) @zakkohane (Isaac) @eriktorenberg (Erik) Thank you Omneky for sponsoring The Cognitive Revolution. Omneky is an omnichannel creative generation platform that lets you launch hundreds of thousands of ad iterations that actually work, customized across all platforms, with a click of a button. Omneky combines generative AI and real-time advertising data. Mention "Cog Rev" for 10% off. More show notes and reading material released in our Substack: cognitiverevolution.substack.com

Dr. Pierre Elias sits down with Catherine Price to talk about how utilizing technologies like artificial intelligence and machine learning can help diagnose patients even before symptoms develop, and support doctors by freeing them up to focus on providing personalized care to their patients. They discuss navigating bias in both artificial intelligence and clinical care, and how new technology will improve the future of medicine. For more information visit nyp.org/Advances

Christopher Longhurst MD, MS, isthe chief medical officer (CMO) and chief digital officer (CDO) at UC San DiegoHealth. This dual, complementary role provides leadership to medical staff,ensuring that standards and protocols are in place to provide the highestquality of care to patients. He also serves as an associate dean at theSchool of Medicine, overseeing and aligning our education and research missionswithin the clinical environment, and leading our journey to become a highlyreliable, learning health system.As CMO, Dr. Longhurst isresponsible for maintaining excellence in clinical care, including regulatory,patient and clinician satisfaction, quality and safety, and medical affairs. Heworks alongside leaders at UC San Diego Health, the School of Medicine, and UCHealth to improve care delivery and oversees UC San Diego Health's reputationfor delivering safe, innovative, patient-centered care.Dr. Longhurst is passionate aboutimplementing innovative digital solutions that help improve the patientexperience. As the CDO, he leads UC San Diego Health's technology strategy,overseeing initiatives that advance the infrastructure across UC San Diego andthe UC Health system. In addition, Dr. Longhurst leads the clinical activitiesof the academic medical center, working alongside clinical leaders to guide theplanning of quality, safety, and performance excellence of programs.He is also a key faculty memberin the Departments of Biomedical Informatics and Pediatrics in the UC San DiegoSchool of Medicine, maintaining an active clinical practice as a newbornhospitalist and pursuing scholarship in care quality, patient safety, andhealth informatics.Prior to his current role, Dr.Longhurst served as the chief information officer (2015-2021) and associatechief medical officer for quality and safety (2018-2021) at UC San DiegoHealth, where he provided leadership in key functional areas to continuouslyimprove efforts around operations, reputation and care.Before joining UC San DiegoHealth, Dr. Longhurst served as chief medical information officer for StanfordChildren's Health. He led strategic efforts to improve children's health andprovider workflow using information technology. He founded and led the nation'sfirst accredited clinical informatics fellowship at Stanford, where he was aclinical professor of pediatrics and biomedical informatics. He also staffedthe quality committee of Stanford's hospital board and facilitated nationalquality improvement collaborative work.Dr. Longhurst completed hisresidency at Stanford University and earned his medical degree and MS inmedical informatics from UC Davis. He holds a BS in molecular biology fromRevelle College at UC San Diego. He is a board-certified pediatrician andclinical informaticist.He is the author and co-author ofmany publications on using technology and data to improve quality of care. Dr.Longhurst is an elected fellow of the prestigious American College of MedicalInformatics.Link to claim CME credit: https://www.surveymonkey.com/r/3DXCFW3CME credit is available for up to 3 years after the stated release dateContact CEOD@bmhcc.org if you have any questions about claiming credit.

Isaac (Zak) Kohane is the Chair of the Department of Biomedical Informatics at Harvard Medical School. In this episode, Zak talks with us about how medicine, at its core, is information processing. But in medical data science, one has to understand and to model the dynamics of two orthogonal systems: the patient's physiology and the dynamics of the healthcare system, in particular the integrating intelligence of doctors who decide about a patient's path through that system. Zak also tells us how his creative process is an engineering process, how important the right abstraction of the data is, and how reading science fiction gives him the courage to think beyond the technology that is currently feasible. For more information on Night Science, visit https://www.biomedcentral.com/collections/night-science .

Jobst Landgrebe is a German scientist and entrepreneur. He began his career as a Fellow at the Max Planck Institute of Psychiatry, then moved on to become a Senior Research Fellow at the University of Göttingen, working in cell biology and biomathematics. In April 2013, he founded Cognotekt, an AI based language technology company.Barry Smith is Professor of Philosophy at the University at Buffalo, with joint appointments in the Departments of Biomedical Informatics, Neurology, and Computer Science and Engineering. He is also Director of the National Center for Ontological Research and Visiting Professor in the Università della Svizzera italiana (USI) in Lugano, Switzerland. Landgrebe and Smith join the podcast to talk about their book Why Machines Will Never Rule the World: Artificial Intelligence without Fear. As the title indicates, the authors are skeptical towards claims made by Nick Bostrom, Elon Musk, and others about a coming superintelligence that will be able to dominate humanity. Landgrebe and Smith do not only think that such an outcome is beyond our current levels of technology, but that it is for all practical purposes impossible. Among the topics discussed are* The limits of mathematical modeling* The relevance of chaos theory* Our tendency to overestimate human intelligence and underestimate the power of evolution* Why the authors don't believe that the achievements of Deep Mind, DALL-E, and ChatGPT indicate that general intelligence is imminent * Where Langrebe and Smith think that believers in the Singularity go wrong. Listen in podcast form or watch on YouTube.Links:* The Feynman Lectures on Physics* Landgrebe on Galactica and ChatGPT.* Rodney Brooks, “Intelligence without Representation.”* Nick Bostrom, Superintelligence. Get full access to Center for the Study of Partisanship and Ideology at www.cspicenter.com/subscribe

[Transcript] How will AI change clinical practice and healthcare, and how will it impact the patient experience? Who are the people pushing for change and what are their goals? These are just a few of the topics that we hope to explore on NEJM AI Grand Rounds, a new podcast from NEJM Group. This podcast will be an informal conversation with a variety of unique experts exploring the deep issues at the intersection of artificial intelligence and medicine. Whether you are an AI researcher or a practicing clinician, we hope these conversations will enlighten and surprise you as we journey through this very exciting field. Hi, I'm Raj Manrai. I'm an assistant professor of Biomedical Informatics at Harvard Medical School and a co-host of NEJM AI Grand Rounds. I'm fascinated by both the growing abilities of AI and by medical decision making.  I am excited about an AI enabled future in medicine that rests on strong clinical evidence. I'm Andy Beam, an assistant professor of epidemiology at the Harvard School of Public Health and cohost. I've been interested in AI for as long as I can remember, and I'm so excited that we're starting to see real progress on important medical problems. NEJM AI Grand Rounds will be launching in mid-December, and we hope you are as excited as we are to have this important discussion. Follow us now on Apple, Spotify, Google, or wherever you find your podcasts.  

[Broadcast on 7/27/2022] This week marks the 32nd anniversary of the landmark Americans with Disabilities Act. Lex Frieden, one of the ADA's architects, joins Ask Dr. Drew LIVE to discuss civil rights and how the ADA protects COVID-19 long-haulers from discrimination in employment, transportation, and equal access. Lex Frieden, MA, LLD (hon) is a professor at UT Health School of Biomedical Informatics and directs the Independent Living Research Utilization program at The Institute for Rehabilitation and Research at Memorial Hermann. He is best known as being one of the architects of the Americans with Disabilities Act of 1990 (ADA). July 26, 2022, was the 32nd anniversary of this landmark legislation. Follow Lex at https://twitter.com/LexFrieden. Ask Dr. Drew is produced by Kaleb Nation (https://kalebnation.com) and Susan Pinsky (http://twitter.com/firstladyoflove). This show is for entertainment and/or informational purposes only, and is not a substitute for medical advice, diagnosis, or treatment. SPONSORED BY • GENUCEL - Using a proprietary base formulated by a pharmacist, Genucel has created skincare that can dramatically improve the appearance of facial redness and under-eye puffiness. Genucel uses clinical levels of botanical extracts in their cruelty-free, natural, made-in-the-USA line of products. Get 10% off with promo code DREW at https://genucel.com/drew GEAR PROVIDED BY • BLUE MICS - After more than 30 years in broadcasting, Dr. Drew's iconic voice has reached pristine clarity through Blue Microphones. But you don't need a fancy studio to sound great with Blue's lineup: ranging from high-quality USB mics like the Yeti, to studio-grade XLR mics like Dr. Drew's Blueberry. Find your best sound at https://drdrew.com/blue • ELGATO - Every week, Dr. Drew broadcasts live shows from his home studio under soft, clean lighting from Elgato's Key Lights. From the control room, the producers manage Dr. Drew's streams with a Stream Deck XL, and ingest HD video with a Camlink 4K. Add a professional touch to your streams or Zoom calls with Elgato. See how Elgato's lights transformed Dr. Drew's set: https://drdrew.com/sponsors/elgato/