Podcasts about patient data

Clinicians and medical providers rely on data to tailor care plans to their patients. Aartik Sarma, MD, University of California, San Francisco, Pat Lyons, MD, Oregon Health & Science University, and host Lekshmi Santhosh, MD, the University of California, San Francisco, discuss the use of data science in critical care medicine and how it has evolved over time. They dive into how new technologies benefit ICU patients, and how the medical infrastructure can be further improved.

Most clinical AI tools send patient data to third-party cloud servers—creating compliance exposure many practices haven't evaluated. Discover why behavioral health and specialty practices are shifting to on-premise AI, and the practical steps you can take today. Lean Command City: Cheyenne Address: 5919 Blue Bluff Road Website: https://leancommand.com Email: jason@leancommand.com

Retired agent Larry Guerin reviews a health care fraud investigation involving an emergency medical technician (EMT) who stole Health Insurance Portability and Accountability Act (HIPAA) protected patient information, such as Social Security numbers, dates of birth, addresses, and phone numbers, and then tried to sell it back to managers of private ambulance companies. The case would have been only the second prosecution against an individual under the new statute. However, the case ended tragically before the subject was officially charged. Larry Guerin served in the FBI for 28 years.  Check out episode show notes, photos, and related articles: Join my Reader Team to get the FBI Reading Resource - Books about the FBI, written by FBI agents, the 20 clichés about the FBI Reality Checklist, and keep up to date on the FBI in books, TV, and movies via my monthly email. Join here. http://eepurl.com/dzCCmL    Buy me a coffee - https://www.buymeacoffee.com/JerriWilliams   Check out my FBI books, non-fiction and crime fiction, available as audiobooks, ebooks and paperbacks wherever books are sold. https://jerriwilliams.com/books/

Privacy-preserving computation can help hospitals and researchers use sensitive health data without exposing it. Farinaz Koushanfar, Ph.D., UC San Diego, explains how secure computation and distributed learning make it possible to collaborate on medical data while protecting patient privacy. Koushanfar examines secure multi-party computation, zero-knowledge proofs, and federated and split learning, helping clarify how health systems can work together despite data silos, incompatibility, security threats, and re-identification risk. This work helps explain how medical AI can learn from private data more safely and points toward more secure, robust, and trustworthy healthcare systems. Series: "Exploring Ethics" [Health and Medicine] [Humanities] [Science] [Show ID: 41367]

Privacy-preserving computation can help hospitals and researchers use sensitive health data without exposing it. Farinaz Koushanfar, Ph.D., UC San Diego, explains how secure computation and distributed learning make it possible to collaborate on medical data while protecting patient privacy. Koushanfar examines secure multi-party computation, zero-knowledge proofs, and federated and split learning, helping clarify how health systems can work together despite data silos, incompatibility, security threats, and re-identification risk. This work helps explain how medical AI can learn from private data more safely and points toward more secure, robust, and trustworthy healthcare systems. Series: "Exploring Ethics" [Health and Medicine] [Humanities] [Science] [Show ID: 41367]

Privacy-preserving computation can help hospitals and researchers use sensitive health data without exposing it. Farinaz Koushanfar, Ph.D., UC San Diego, explains how secure computation and distributed learning make it possible to collaborate on medical data while protecting patient privacy. Koushanfar examines secure multi-party computation, zero-knowledge proofs, and federated and split learning, helping clarify how health systems can work together despite data silos, incompatibility, security threats, and re-identification risk. This work helps explain how medical AI can learn from private data more safely and points toward more secure, robust, and trustworthy healthcare systems. Series: "Exploring Ethics" [Health and Medicine] [Humanities] [Science] [Show ID: 41367]

Privacy-preserving computation can help hospitals and researchers use sensitive health data without exposing it. Farinaz Koushanfar, Ph.D., UC San Diego, explains how secure computation and distributed learning make it possible to collaborate on medical data while protecting patient privacy. Koushanfar examines secure multi-party computation, zero-knowledge proofs, and federated and split learning, helping clarify how health systems can work together despite data silos, incompatibility, security threats, and re-identification risk. This work helps explain how medical AI can learn from private data more safely and points toward more secure, robust, and trustworthy healthcare systems. Series: "Exploring Ethics" [Health and Medicine] [Humanities] [Science] [Show ID: 41367]

Privacy-preserving computation can help hospitals and researchers use sensitive health data without exposing it. Farinaz Koushanfar, Ph.D., UC San Diego, explains how secure computation and distributed learning make it possible to collaborate on medical data while protecting patient privacy. Koushanfar examines secure multi-party computation, zero-knowledge proofs, and federated and split learning, helping clarify how health systems can work together despite data silos, incompatibility, security threats, and re-identification risk. This work helps explain how medical AI can learn from private data more safely and points toward more secure, robust, and trustworthy healthcare systems. Series: "Exploring Ethics" [Health and Medicine] [Humanities] [Science] [Show ID: 41367]

Privacy-preserving computation can help hospitals and researchers use sensitive health data without exposing it. Farinaz Koushanfar, Ph.D., UC San Diego, explains how secure computation and distributed learning make it possible to collaborate on medical data while protecting patient privacy. Koushanfar examines secure multi-party computation, zero-knowledge proofs, and federated and split learning, helping clarify how health systems can work together despite data silos, incompatibility, security threats, and re-identification risk. This work helps explain how medical AI can learn from private data more safely and points toward more secure, robust, and trustworthy healthcare systems. Series: "Exploring Ethics" [Health and Medicine] [Humanities] [Science] [Show ID: 41367]

Privacy-preserving computation can help hospitals and researchers use sensitive health data without exposing it. Farinaz Koushanfar, Ph.D., UC San Diego, explains how secure computation and distributed learning make it possible to collaborate on medical data while protecting patient privacy. Koushanfar examines secure multi-party computation, zero-knowledge proofs, and federated and split learning, helping clarify how health systems can work together despite data silos, incompatibility, security threats, and re-identification risk. This work helps explain how medical AI can learn from private data more safely and points toward more secure, robust, and trustworthy healthcare systems. Series: "Exploring Ethics" [Health and Medicine] [Humanities] [Science] [Show ID: 41367]

Privacy-preserving computation can help hospitals and researchers use sensitive health data without exposing it. Farinaz Koushanfar, Ph.D., UC San Diego, explains how secure computation and distributed learning make it possible to collaborate on medical data while protecting patient privacy. Koushanfar examines secure multi-party computation, zero-knowledge proofs, and federated and split learning, helping clarify how health systems can work together despite data silos, incompatibility, security threats, and re-identification risk. This work helps explain how medical AI can learn from private data more safely and points toward more secure, robust, and trustworthy healthcare systems. Series: "Exploring Ethics" [Health and Medicine] [Humanities] [Science] [Show ID: 41367]

NHS England's Federated Data Platform contract with Palantir Technologies must be torn up before it's too late. Palantir's NHS patient data contract is not a tool for improving healthcare, but the reverse. It is a vehicle for the further privatisation and militarisation of the NHS, designed to enrich a corporation whose ethics are fundamentally incompatible with public service. Subscribe! Donate! Join us in building a bright future for humanity! www.thecommunists.org www.lalkar.org www.redyouth.org Telegram: t.me/thecommunists Twitter: twitter.com/cpgbml Soundcloud: @proletarianradio Rumble: rumble.com/c/theCommunists Odysee: odysee.com/@proletariantv:2 Facebook: www.facebook.com/cpgbml Online Shop: https://shop.thecommunists.org/ Education Program: https://thecommunists.org/education-programme/ Each one teach one! www.londonworker.org/education-programme/ Join the struggle www.thecommunists.org/join/ Donate: www.thecommunists.org/donate/

Yael Elish, Founder of StuffThatWorks, was part of the Waze founding team that brought crowdsourcing to maps and traffic. She is now bringing her insights into the power of the crowd to build a patient-generated real-world database to support patients and medical research, accelerating drug development, and improving the efficiency of clinical trials. Their OpenStuff platform is an AI-powered search tool that makes patient experience data accessible to patients, doctors, and researchers, and validates the patient experience. Yael explains, "As background, I was part of the Waze founding team, and this is where I got acquainted firsthand with the power of crowdsourcing. Waze does crowdsourcing of traffic and the building of maps. And this is where people are joining based on a common vision that if everyone shares information in an organized form. If there's a platform that can collect all the data in a structured format, it can deliver everything in a way that's much more useful and solves a very big problem that otherwise couldn't be solved." "So the idea here is people have a ton of experience, especially when we're talking about a chronic condition someone has been living with for years and years and years. They've tried many things. Some went out and researched the information that everyone else has. How they experienced the condition, what they tried, what worked, what didn't work, what are the aggravating factors, what are the comorbidities? All this information that people have, if collected in an organized form as data at scale, can be transformed into very powerful data that doesn't exist today. That's the premise behind StuffThatWorks. And the way it works is that anyone can join their condition community. So if you have a chronic condition, you will search for your condition, you will join your condition, and you will share information that becomes data, consistent data across everyone who joins the platform. And today, with AI, it's really transformative. It's amazing, unique data that doesn't exist anywhere else." #StuffThatWorks #OpenStuff #HealthTech #PatientEmpowerment #AIHealthcare #CrowdsourcingHealth #DigitalHealth #ChronicDisease #HealthcareInnovation #PatientData #ClinicalTrials #PersonalizedMedicine #HealthAI #MedicalResearch #PatientVoice #HealthcareTransformation #RealWorldEvidence stuffthatworks.health Download the transcript here

Yael Elish, Founder of StuffThatWorks, was part of the Waze founding team that brought crowdsourcing to maps and traffic. She is now bringing her insights into the power of the crowd to build a patient-generated real-world database to support patients and medical research, accelerating drug development, and improving the efficiency of clinical trials. Their OpenStuff platform is an AI-powered search tool that makes patient experience data accessible to patients, doctors, and researchers, and validates the patient experience. Yael explains, "As background, I was part of the Waze founding team, and this is where I got acquainted firsthand with the power of crowdsourcing. Waze does crowdsourcing of traffic and the building of maps. And this is where people are joining based on a common vision that if everyone shares information in an organized form. If there's a platform that can collect all the data in a structured format, it can deliver everything in a way that's much more useful and solves a very big problem that otherwise couldn't be solved." "So the idea here is people have a ton of experience, especially when we're talking about a chronic condition someone has been living with for years and years and years. They've tried many things. Some went out and researched the information that everyone else has. How they experienced the condition, what they tried, what worked, what didn't work, what are the aggravating factors, what are the comorbidities? All this information that people have, if collected in an organized form as data at scale, can be transformed into very powerful data that doesn't exist today. That's the premise behind StuffThatWorks. And the way it works is that anyone can join their condition community. So if you have a chronic condition, you will search for your condition, you will join your condition, and you will share information that becomes data, consistent data across everyone who joins the platform. And today, with AI, it's really transformative. It's amazing, unique data that doesn't exist anywhere else." #StuffThatWorks #OpenStuff #HealthTech #PatientEmpowerment #AIHealthcare #CrowdsourcingHealth #DigitalHealth #ChronicDisease #HealthcareInnovation #PatientData #ClinicalTrials #PersonalizedMedicine #HealthAI #MedicalResearch #PatientVoice #HealthcareTransformation #RealWorldEvidence stuffthatworks.health Listen to the podcast here

They submitted $666 million in fake Medicare claims for glucose monitors and catheters in just five months—and that's just one operation. Federal prosecutors just exposed a massive international fraud ring that bilked Medicare for over $1 billion, with empty offices, stolen patient data, and money wired straight to foreign accounts. From Chicago to Minnesota to Seattle, the pattern is crystal clear: blue cities with zero oversight have become fraud playgrounds for foreign nationals exploiting taxpayer-funded programs. While Minnesota's governor was busy with tampon machines, criminals were literally declaring hundreds of millions in cash at airports and flying it overseas. Employees showed up to "work" just to forward checks via encrypted apps to supervisors they'd never met. This is what happens when there's no accountability, no voter ID requirements, and no one asking basic questions. How many billions are still buried beneath the surface while these same cities cry about budget deficits? Is anyone surprised this keeps happening in the same places? Let me know what you think in the comments. Don't forget to like, subscribe, and share this with someone who needs to see how their tax dollars are being looted.

Today's guest is Emma Vitalini, Head of Global Digital Health Technology Innovation at Amgen, where she leads initiatives at the intersection of digital health, data strategy, and clinical innovation. Emma joins Emerj Editorial Senior Editor Marilie Fouche to explore how data and AI are reshaping patient recruitment, consent, and execution in clinical trials, with a focus on decentralized models, scalable compliance, and explainable AI in regulated environments. Emma also shares practical guidance for enterprise leaders on where AI is delivering near-term ROI today, including accelerating patient screening by surfacing unstructured data, reducing enrollment delays through digital and remote monitoring tools, and designing modular, plug-and-play AI platforms that balance speed, flexibility, and regulatory trust. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

An IT expert says even more of the country's patient information portals are at risk - because there's no-one checking private providers. Callum McMenamin, a web standards consultant who has worked on government website security spoke to Lauren Crimp.

In this episode, host Dr. Dan Beswick speaks with Dr. Waleed Abuzeid. They discuss the recently published Original Article: “Predicting Surgical Outcomes in Chronic Rhinosinusitis From Preoperative Patient Data: A Machine Learning Approach.” The full manuscript is available in the International Forum of Allergy and Rhinology. Listen and subscribe for free to Scope It Out […]

Can a digital replica of your heart save your life? In CXOTalk episode 902, Michael Krigsman talks with Dr. Joe Alexander, Director of the Medical and Health Informatics Lab at NTT Research, to explore the revolutionary world of Bio-Digital Twins.Discover how researchers are using mathematical modeling to build "computational replicas" of the human cardiovascular system. Dr. Alexander explains how these digital twins can predict heart failure, automate critical care in the ICU through closed-loop intervention systems, and pave the way for a future where personalized medicine is accessible to everyone.We dive deep into the science of treating the heart as an electrical circuit, the ethics of AI in medicine, and the "moonshot" goal of eliminating cardiovascular disease..

In this episode of the ThinkData Podcast, I sat down with Nell Meosky Luo, CEO and Co-Founder of Folia Health, a health-tracking platform redefining how chronic and rare conditions are monitored and understood.Folia was born from a deeply personal experience within Nell's own family, where traditional healthcare systems failed to capture the nuance of day-to-day patient life. Today, Folia turns those everyday observations into structured, research-ready data that clinicians, researchers, and families can actually act on.We explore:• The founding story and how personal lived experience shaped Folia's mission• What makes Folia different from traditional patient-tracking or EPRO tools• Why AI is only as powerful as the underlying data, and how Folia closes the real-world data gap• How the team has scaled headcount and capability following their Series A• How Mosaic is giving patients unprecedented control over research participation• The future of AI-driven, patient-led insightsThis conversation is a must-listen for anyone working in digital health, AI, chronic condition management, or patient-reported outcomes.

In this episode, you'll step into a challenge almost every practice owner faces—but few want to admit: you're surrounded by data… and still making decisions based on gut feel. Alongside Cathy Firman from GPN, you'll walk through what happens when you stop guessing and start listening to what your practice is already trying to tell you—through revenue per exam, capture rate, staff performance, and the quiet leaks that add up over time. If you've ever felt overwhelmed by dashboards, unsure where to focus, or hesitant to “look under the hood,” this episode will help you take your first clear step. Because when you learn to read the data, you don't just run a healthier practice—you lead with confidence instead of reaction.   Follow our Podcast on All Available Platforms Follow our Podcast on Instagram Follow IDOC on Facebook Follow IDOC on LinkedIn Watch our Podcast Video on YouTube

A conversation with Brent DialTo Brent Dial, the pursuit of health is about three things: agency, education, and collaboration.And that's exactly what Beek Health, the start-up he co-founded earlier this year, are all about.Beek are on a mission to revolutionize the bloated patient data process: reducing wasted time, resources and patient stress. Gone are repeated scans, poor communication and unnecessary surgeries.By putting the power into the patient's hands, their innovative combination of health literacy, technology, and patient empowerment raises hope for solving the issues of healthcare equity in the United States. —We spoke about how the current healthcare system often leaves patients feeling disconnected and uninformed, biomarkers, the role of technology in democratizing health information, and the need for a paradigm shift from a clinician-centric to a patient-centric approach.Follow me on Instagram and Facebook @ericfethkemd and checkout my website at www.EricFethkeMD.com. My brand new book, The Privilege of Caring, is out now on Amazon! https://www.amazon.com/dp/B0CP6H6QN4

A recent report from the health research network and real-world data platform TriNetX argues that by aggregating electronic health records, billing claims, and registry data across hundreds of healthcare sites makes it possible to study rare diseases more efficiently. Doing so could enable access to enough patient data to conduct meaningful research, which is often impossible through traditional clinical trials. We spoke to Jeff Brown, chief scientific officer of TriNetX, about how real-world data can address common challenges in rare disease research, the hurdles that need to be addressed, and how advances in AI could revolutionize rare disease research by using this data to identify patients and unlock insights.

The Cybercrime Magazine Podcast brings you daily cybercrime news on WCYB Digital Radio, the first and only 7x24x365 internet radio station devoted to cybersecurity. Stay updated on the latest cyberattacks, hacks, data breaches, and more with our host. Don't miss an episode, airing every half-hour on WCYB Digital Radio and daily on our podcast. Listen to today's news at https://soundcloud.com/cybercrimemagazine/sets/cybercrime-daily-news. Brought to you by our Partner, Evolution Equity Partners, an international venture capital investor partnering with exceptional entrepreneurs to develop market leading cyber-security

Welcome to the ThinkData Podcast. I'm joined today by Ken Ko, the CTO and Co-Founder of Ferrum Health. Ferrum is reshaping how hospitals use AI, and in this episode, I dive into Ken's journey, what sparked the idea, the challenges of getting AI into hospitals at scale, and why keeping patient data inside hospital walls is so important.We also explore how Ferrum ensures its AI is safe and unbiased, and whether the future of healthcare AI should be shaped by stronger regulation or smarter hospital governance.In this episode, we cover:What inspired Ken to start Ferrum HealthThe biggest hurdles to getting AI into hospitals at scaleWhy patient data should stay within hospital wallsHow Ferrum makes sure AI is accurate, unbiased, and safeThe balance between regulation and hospital governance in healthcare AI

In this episode, BioSpace's head of insights Lori Ellis discusses the concerns and opportunities of patient data driving AI tasks with Louise Molloy, associate director medical information and pharmacovigilance.

While AI excels at repetitive tasks like triaging medical information calls, document retrieval, and adverse event detection, the industry must address valid concerns from physicians (41% are excited but concerned, according to AMA studies) and patients who distrust AI systems. In this episode, IQVIA's Louise Molloy advocates for complete transparency, including clear disclaimers when AI generates or supports responses, arguing that the industry serves as "custodians, not owners" of patient data with ethical responsibilities.This episode is presented in partnership with ⁠IQVIA⁠.Host⁠⁠⁠⁠⁠⁠⁠Lori Ellis⁠⁠⁠⁠⁠⁠⁠, Head of Insights, BioSpaceGuestLouise Molloy, Associate Director Medical Information & Pharmacovigilance, IQVIADisclaimer: The views expressed in this discussion by guests are their own and do not represent those of their organizations.

Azure IAM is offering dynamic, cloud-based ransomware protection to hospitals and healthcare organizations. Want to defend yourself against this rampant threat? Visit https://azureiam.com/ Azure IAM, LLC City: Sterling Address: P. O. Box 650685 Website: https://azureiam.com

Europe has the science. The talent. The breakthroughs.But when an idea feels too uncertain, our systems shut it down before it has a chance to breathe.And with every safe bet… we quietly lose the next cure, the next Car-T, the next AI that could change everything. 

Alias Cybersecurity CISO Jonathon Kimmitt is joined by Derrac Page to discuss the new changes to the HIPAA security rules being set in place this year. Listen as they go over many of the biggest points raised from the 660+ page guidelines and discuss ways that HIPAA Privacy Officers and HIPAA Security Officers can get ahead of compliance.Sponsored by Arrow Force, an MSP that puts Security First. https://www.arrowforce.comWatch the full video at youtube.com/@aliascybersecurity.Catch the whole episode now at https://bit.ly/47eYPTKListen on Apple Podcasts, Spotify and anywhere you get you're podcasts.

Chapters00:00 Introduction and Company Updates02:49 The Digital Transformation of Ultrasound Imaging06:00 Advancements in Technology and Market Growth09:03 AI Integration in Medical Imaging14:50 Impact on Global Health and Humanitarian Efforts20:55 Challenges in Mainstream Adoption of Handheld Ultrasound29:43 Strategic Sales Approaches in Medical Devices34:11 Finding Product-Market Fit36:12 Simplicity in Medical Technology39:26 Unexpected Use Cases and Market Adoption45:24 Future Innovations in Handheld Ultrasound51:58 The Importance of Patient Data Ownership 

Mo is the inspirational founder and CEO of Patients Know Best which today has over 5 million registered patients and is working with over 100 health providers to release around 26.5 million data points every month.His mission is to give all patients access to their health data because it leads to better health for everyone. This is a fascinating deep-dive into an area that is continually touted as "the future of health" by governments, think tanks and venture capital alike. Mo is a multi-published author and possibly the world's leading expert in patient data.

AI adoption in healthcare comes with complexities, from regulatory hurdles to the challenge of building secure, scalable systems that align with hospital needs. Finding the right balance between innovation and data privacy is key to ensuring these technologies can be effectively integrated into medical environments.

Who really owns patient data? Can digital identity reshape healthcare security, privacy, and fraud prevention? We sit down with Dan Bowden, Global CISO at Marsh, to tackle these questions. Dan brings a wealth of experience in healthcare cybersecurity, previously serving as CISO at Sentara Healthcare. We dive deep into digital identity, data sovereignty, and the evolving role of AI in protecting patient privacy. Tune in as we discuss: Potential for errors in traditional healthcare ID systems How digital IDs could fight fraud & streamline claims Impact of AI on patient data privacy & security The path to patient data ownership Find Dan's work at: www.marsh.com Subscribe and stay at the forefront of the digital healthcare revolution. Watch the full video on YouTube @TheDigitalHealthcareExperience The Digital Healthcare Experience is a hub to connect healthcare leaders and tech enthusiasts. Powered by Taylor Healthcare, this podcast is your gateway to the latest trends and breakthroughs in digital health. Learn more at taylor.com/digital-healthcare About Us: Taylor Healthcare empowers healthcare organizations to thrive in the digital world. Our technology streamlines critical workflows such as procedural & surgical informed consent with patented mobile signature capture, ransomware downtime mitigation, contactless patient check-in and more. Learn more at taylor.com/healthcare/imedhealth   The Digital Healthcare Experience Podcast: Powered by Taylor Healthcare Produced by Naomi Schwimmer  Hosted by Chris Civitarese Edited by Eli Banks Music by Nicholas Bach  

Health systems are increasingly focused on delivering personalized, data-driven care to better serve current and prospective patients. At the same time, they are tasked with attaining aggressive organic growth targets and reducing infrastructure and administrative costs. Achieving these goals requires IT executives to unify fragmented patient data from various sources to create a comprehensive consumer profile. This unified approach enables targeted outreach, addresses care gaps, and fosters patient loyalty.  Source: Unifying Disparate Patient Data for a Complete Consumer Picture and Enhanced Patient Engagement on healthsystemcio.com - healthsystemCIO.com is the sole online-only publication dedicated to exclusively and comprehensively serving the information needs of healthcare CIOs.

Send us a textInteroperability has long been a buzzword in healthcare In an ideal world, our healthcare system would exchange timely, high-quality data to empower patients, improve clinical quality, and keep costs under control. How close are we to making this a reality?In this episode of the HealthBiz Podcast, host David E Williams talks with Dr. Donald Rucker, Chief Strategy Officer at 1upHealth, about how their health data management platform is transforming the way healthcare organizations access, share, and leverage patient data to improve outcomes, enhance efficiency, and drive more personalized care.TOPICS(0:25) Introduction(0:52) How Dr. Donald Rucker Got Into Healthcare(2:54) Rucker's Educational Path and Career(11:14) What Does 1upHealth Do?(21:13) Why Are CMS APIs So Important?(25:15) How Do APIs Affect Prior Authorization?(31:37) Book Recommendations from Dr. Donald Rucker

The Centers for Medicare and Medicaid Services (CMS) Cyber Integration Center (CCIC) is the hub of cybersecurity strategy and response at the agency. The collaborative center focuses on internal assessments to protect sensitive patient data and improve threat detection. Acting CISO Keith Busby explained how CCIC red, blue and purple security engagements teams are conducting Penetration Testing (PenTesting) to monitor the agency's critical infrastructure and prevent malicious actors from causing devastating cyber attacks. Busby shared details about the agency's Risk Management Strategy, which uses secret scanning and other enterprise level technologies to mitigate risks. He also highlighted the Department of Health and Human Services (HHS) cyber performance goals agencies should be prioritizing to boost their resiliency.  

In this month's episode of Cancer Registry World, we welcome guest Dr. Aaron Galaznik, Chief Scientific Officer at Carevive, now part of the Health Catalyst family. Dr. Galaznik brings his expertise as a physician and seasoned health outcomes researcher to explore the transformative power of patient-reported outcomes. He shares insights into Carevive's mission and the innovative strategies driving better care through patient data.

Send us a textWord-of-mouth recommendations are great for picking a restaurant or movie, but are they the best way to find a doctor?What if there was a better way to use data to find the right doctor every time?In this episode of CareTalk, David Williams talks with Nick Reber, Founder and CEO of Garner Health, about how they're leveraging detailed data, including physician history and patient outcomes, to match patients with high-quality doctors.This episode is brought to you by BetterHelp. Give online therapy a try at https://betterhelp.com/caretalk and get on your way to being your best self.As a BetterHelp affiliate, we may receive compensation from BetterHelp if you purchase products or services through the links provided.TOPICS:(0:15) Sponsorship(1:45) Why Nick Reber Started Garner Health(4:50) Using Data to Find the Best Doctors(7:13) How Hedge Funds Relate to Healthcare(9:25) Measuring Patient Outcomes and Costs(11:20) Building Patient Trust(14:32) Dealing with Fragmented Data(16:29) Deciphering Complex Data to Determine Outcomes(20:24) Garner Health's Relation to Value-Based Care(23:18) Advice for Someone Starting a Healthcare Company

Send us a textCancer moves fast. Patients and their medical teams need to move faster.When crucial data about diagnosis, staging, and treatments gets held up, it can cost patients valuable time, resources, and treatment opportunities.In the latest episode of HealthBiz Briefs, guest Karen Schmidt, VP Oncology Market Lead at Q-Centrix, discusses why accurate and timely data is critical in cancer treatment and how improved data practices can lead to better outcomes and potentially life-saving care.This episode is brought to you by BetterHelp. Give online therapy a try at https://betterhelp.com/caretalk and get on your way to being your best self.As a BetterHelp affiliate, we may receive compensation from BetterHelp if you purchase products or services through the links provided.

Send us a textTheoretically, having a full view of a patient's medical records could lead to more personalized treatment, stronger data security, and new research breakthroughs.But in practice? That's a tall order.Could AI be the solution?In this episode of HealthBiz Briefs, Bo Holland, Founder and CEO of All Clear ID, talks about the risks patients face with medical record security and the critical task of helping patients easily navigate and control their health data.This episode is brought to you by BetterHelp. Give online therapy a try at https://betterhelp.com/caretalk and get on your way to being your best self.As a BetterHelp affiliate, we may receive compensation from BetterHelp if you purchase products or services through the links provided.

October 2, 2024: In this Today in Health IT episode, Kate Gamble and Sarah Richardson discuss the critical importance of cybersecurity in healthcare. Cybersecurity has become imperative for businesses with increasing threats like ransomware and data breaches. The discussion highlights the need for integrating security into daily operations, ensuring compliance, managing third-party risks, and fostering a culture of cybersecurity awareness across organizations. They also explore human error and the most significant vulnerability and provide practical tips for healthcare leaders to protect sensitive patient data.01:08 The Growing Importance of Cybersecurity04:04 Real-World Impacts and Stories06:28 Strategies for Effective CybersecuritySubscribe: This Week HealthTwitter: This Week HealthLinkedIn: Week HealthDonate: Alex's Lemonade Stand: Foundation for Childhood Cancer

Dr. Robert Dürichen leads the machine learning analytics team at Arcturis Data, a company focused on processing and analyzing large-scale electronic health record (EHR) datasets. His current research uses small and large language models to enrich EHR datasets from unstructured patient notes and improve quality through standardization techniques. Hosts: Nathan Keller + Madeline Ahern Twitter: @NathanKell57664 + @maddie_ahern  Audio/Video Editor + Art: Saurin Kantesaria Linkedin: Saurin Kantesaria Intro 0:00 Who is Robert Durichen? 1:29 What is Arcturis? 6:25 How can machine learning speed up clinical trials? 9:43 Typical Arcturis Project 12:06 Progression of Machine Learning 24:45 AI Taking Jobs 29:50 What is Arctex? 33:50 Who works at Arctex? 38:55 Future of Arcturis 40:58 What gives your life meaning? 43:30 Advice for young people on maintaining a work-life balance 44:26 --- Support this podcast: https://podcasters.spotify.com/pod/show/maml-podcast/support

Commentary by Dr. Valentin Fuster

‍What could you implement TODAY to boost your practice's growth? In this episode, Dr. Addison Killeen provides a comprehensive and insightful take on the strategies and tactics to make this transformation a reality in your own practice. Addison gets into the process of monitoring and analyzing phone data, unraveling crucial details about practice operations and customer experience that could potentially boost your business visibility and growth significantly.We shine a light on the significance of weekly scorecards as strategic tools for measuring progress. Addison explains how these scorecards can help you articulate your goals, track your key performance indicators (KPIs), and drive constructive improvements. As a bonus, we also discuss Addison's series of books on dental operations, marketing, front office management, and a whole lot more - a gold mine of valuable knowledge that's just a click away on Amazon.What You'll Learn in This Episode:The impact of online scheduling on new patient calls.How to monitor and analyze phone data to improve operations.The significance of weekly scorecards in assessing key performance indicators.The strategic importance of monitoring trends in bookings and customer service.A review of Dr. Killeen's multiple books on improving dental operations, marketing, and management.Are you ready to expedite your growth and enhance your dental practice operations? Tune in to our conversation today!‍‍Sponsors:‍For high quality AND affordable dental supply options, visit The Dentists Supply Company(TDSC) website today! Our listeners get a special deal - 25% off on orders over $500 - Just type in the special code: TDM25 at checkout for your exclusive offer. AND if you're a member of your state's Dental Association, you may be eligible for additional savings upon providing your ADA number. Click or copy and paste the link here to save today! https://www.tdsc.com/‍You can reach out to Dr. Addison Killeen here:Website: https://www.addisonkilleen.com/Dr. Killeen's Books: https://www.addisonkilleen.com/dental-manuals-books/‍Mentions and Links: Services/Tools:Mango Voice‍If you want your questions answered on Monday Morning Episodes, ask me on these platforms:My Newsletter: https://thedentalmarketer.lpages.co/newsletter/The Dental Marketer Society Facebook Group: https://www.facebook.com/groups/2031814726927041‍Episode Transcript (Auto-Generated - Please Excuse Errors)‍Michael: Addison. So talk to us. What's one piece of advice you can give us this Monday morning? Addison: Yeah. So the one thing that I've found in the data recently picking through the business, the phone calls, uh, you know, new patients is that online scheduling leads to a huge increase in new patients.But it's not that they are actually scheduling through online. It's that once they go online and then they see that you have availability, they will still call the office. So what we found was that when you didn't have online scheduling, phone calls to the office dropped, even though web traffic was the same, Facebook, uh, you know, traffic was the same.But when you opened up online scheduling, people click that link and you, of course, you have people that click those links that they see, you know, the availability and stuff, and you have a significant portion that don't schedule. But we did see that even opening up online scheduling allowed for more phone calls to the practice just because you have online scheduling.So my big key piece of advice here is that. Even though you might not see a ton of appointments coming through your online scheduling, maybe it's only 10 a month, or maybe it's only 15. But that is still super important for the other 15 or 20 or whatever appointments that come through because of just people checking that online scheduling calendar and then still calling in.Michael: Interesting. How'd you figure that out then? Would you ask, was the front team asking, Hey, where'd you find us? How'd you find us? Addison: Um, well, basically I was just, I love to watch my phone data. I'm like, I'm always looking at, okay, Google. How many clicks are we getting over to our website from Google? How many are coming from Facebook?Um, so just watching all these trends. And then when my online scheduling broke, uh, that's when it was like, something is off here. I'm like, well, why is this not working? Um, of course we saw a drop in online schedules as well, but it was a more significant drop than that. So sometimes it's just the crazy instances where something breaks and you're like, oh my gosh, this is something is up here.that really led to that insight of finding that. Michael: You mentioned phone data. Yeah. What do you mean by that? Like, are you watching? What are you watching? Addison: Yeah, so I check my phone data every week. Um, I go, I use Mango phones. Mango voice is super easy to set up. Um, you can watch, you know, when are most of the incoming calls coming in.Uh, you can also watch when are most of the outgoing calls being made. You know, either following up with patients or confirming their appointments for next day. and basically, I try to dig through to see when are the spikes in incoming calls, when are the spikes in outgoing calls. Of course, outgoing is a system of the practice and so, You know, we can make sure those two peaks are not overlapping each other to make the front desk feel overwhelmed.And basically what I learned was that most of the incoming calls are between 8, 7. 30 in the morning and 10 a. m. and so, okay, hey, let's wait until 10. 30 before we start making outgoing calls. Like, no one should be calling out early in the morning unless it's to fill an appointment for that day. Like, you know, don't be doing any of those mundane tasks or following up on collections.Don't do that until after 10. 30 in the morning. Uh, and then days of the week, like when, which days of the week are most active? When should we have all hands on deck? When should we give people their half day off or something? Or when, you know, if you're going to run errands, when should you be running them away from the front desk?And then also looking at that phone data to see how many phone calls are getting answered in general. Now I track that scorecard. Um, the last couple of weeks I've been at 92. 2%. Of all phone calls coming into the practice get answered by a person. and that includes even after hours calls. So, obviously when we're closed, we're closed.But, um, and that's probably about the 8%. But we do miss some calls during the day. But, uh, that's the average of all the time, you know, the whatever 160 some hours a week. Um, we answer 92%. Now, that is a really good, um, a really good number. I've seen it though in other practices across country where it's been pretty bad, like 60%, sometimes 40%.And of course, if you're trying to get new patients in the door, or you're serve your existing patients, if you're not answering the phone, that's pretty bad. And so you could be wasting tons of money, on marketing or internal marketing, or just you could be losing your existing patient base, because if they call in, And they don't get to talk to anyone, they're going to get pissed off.And so, that's just one thing to put yourself in their shoes. And it's like, man, I try to call my dental office and they never pick up the phone. And it takes them an hour to call me back. Like, that's just irritating. You know, if that's what you think about your general practice physician, or heck, your barber.Or any other person in your life, if they don't ever answer the phone, you're going to feel kind of slighted. As dentists in the dental office, we should absolutely be aware that that phone call answer rate is a huge customer service indicator. Michael: Interesting. Okay. So then you mentioned it spikes early in the morning.Do you have people answering that early? The phones? Addison: Yeah, we actually bring in, um, the front desk starts at like 7 15. A couple of people come in 7 15, one comes in 7 30. Everyone then takes a break at 7 45 because we go do cuddle for about 10 minutes. Um, but you know, people always text, you know, early in the morning or they leave a voicemail and they say, Hey, I'm sick.I can't come in today. So I always want the front desk team to be there about 45 minutes early so that they can start managing the schedule. And so their most important job, you know, a make sure the waiting room is clean, but that should be done 5 PM the night before. So they should come in and just manage the schedule.If there's holes that pop up like Swiss cheese, let's fill those holes. Let's make sure that every, you know, appointment is the appropriate length. Cause if someone does, Hey, I only want to do one extraction today rather than full mouth extractions, well, let's, let's shorten that appointment. Let's, you know, fill something in after that.So, they double check all that, uh, just to prepare for morning huddle, because morning huddle is that huge communication time when they can then say, Hey, if you wanted to add in extra treatment, do it right here. Um, you know, we had a couple patients drop off, so if you wanted to do some same day or if you have an emergency, let's throw them in here.Stuff like that. Michael: Gotcha. Okay. And then what days of the week would you say are the spikes? And then the days where it's like, no, it's not a good day, half days are here. Addison: Yeah, the, it's usually Monday is close to top Tuesday's top Wednesday, Thursday, Friday is like a slow downward slog. Michael: Interesting. Okay. So, Monday, Tuesday, all hands on, that kind of thing.Addison: Yeah. Yeah. So, Tuesday, I don't give anyone time off up front. Uh, Monday afternoon, one of my employees goes home at like two o'clock. And then, yeah, Wednesday, Thursday, and then Friday, everyone else gets a half day off as well. Nice. Michael: Okay. And then you mentioned a weekly scorecard. Cool. what is that? Addison: Yeah.So it's, you know, like if you wait till the end of the month to run your numbers, look at your profit and loss statement, look at your month end analytics, whatever, you know, whether that's an online dashboard you get or whatever, however you run your numbers, if you're waiting till the end of the month, you're going to miss so much data.And so when you look at it week by week, I always go in Sunday night, Monday morning, like sometimes the first thing I do Monday morning at like 5am when I wake up. Is like I go through and I run the numbers from the past week and that is takes about 10 minutes Maybe five to ten minutes and I just pull about 25 of the top numbers and that was kind of the basis for my first book by the numbers super short little read there, but it's basically like okay.What should you look at every week? leading indicators because you can always look at the production and the income later on. I mean, that's like, that's the end of the month. See how you did, but you want to look at like, what are your treatment planning? what's your phone answer rate? How far out are you scheduling?What does your accounts receivable look like? You know, and those little things, it takes me about 10 minutes and I don't. Um, give that to any other employee. I could totally pass it off and some other team member could do it, but I actually want to be the one doing it because it gives me all the indicators of how I need to lead the team that week.You know, it also gives me the wins. So in that morning huddle, I could say, Hey guys, you guys are killing it. 92. 2 percent is a great phone call answer rate. I'd love how everyone's helping out. Like we have a phone in the back sterilization so that if it's ringing and it's like, Oh, that's three rings.I should pick it up. sterile tech could pick it up. or, you know, like, Hey, our number of fluorides versus the pro fee rate, you know, so our fluoride delivery rate drop below 80%. Let's just make sure to pick that up this week. Let's make sure we're offering fluoride to every patient who needs it. Um, that sort of thing.or treatment plan, you know, like, Hey, Last week, for whatever reason, we just didn't seem to treatment plan as much as our normal average, you know, just make sure that we're spending the time educating our patients and like teaching them what's going on with their mouths, and hopefully we can get that back up to our average.So stuff like that, and doing that weekly, I think it's just the most appropriate cadence because Sometimes I can't remember what happened, what I ate for breakfast. And if I, you asked me what happened three and a half weeks ago, I'm absolutely not going to know. But if you ask me Monday morning, like how did last week go?I was like, well, I took a day off. Okay. Well, of course the numbers are going to drop pretty significantly if I take a day off. So just knowing that and doing the weekly scorecard, and I just have it in a simple, dumb spreadsheet and I just go line of data is just another row down. And some of the data cells are color coded so that they show up like more green if they're good and more reddish tones if they're bad.And so, yeah, that's what I do weekly. Michael: you have that in one of your books? The weekly scorecard? Addison: Yeah. So that's in the by the numbers one for sale on Amazon. Michael: Okay. Okay. So we can find it there. Look at it. Cause each, I guess sometimes I feel like, and I'm speaking for myself, but like other people, you tend to put all these other analytics on there and you don't really know what's the most important.I mean, maybe like you do, right? Like production collection, things like that. Right. But then there's stuff where, I don't know, you're worried about when it comes to marketing, like impressions. Right. And you're like, is that butts in chairs? What is that? No. Kind of thing. Addison: Yeah. And so that's, yeah. And that's the biggest thing that I think some of the analytics tools out there, they, they love to feed you data.They love to get your dopamine rush with like bright colors and graphs. But sometimes I think the most educational thing is dumbing it down to the simplest level and just being like, no, like we need to answer the phone. Like that's because yeah, impressions are obviously important, but that would be one of like that level of data digging in there would be like a, let's do that once a month type thing on my.If I'm going to dedicate like two hours to reviewing all the marketing efforts for the past month or the future months, let's do that on one day a month. But then this weekly scorecard would just be like, Oh, you know, the phone call is not getting answered. Or maybe you have the other problem. Maybe you're booked out really far.And so one of the well, two of the things on the scorecard are how far out you're scheduling both in hygiene. And then in the doctor side, and so like what's the next one hour free block of doctor time where I could do like a crown or a simple root canal, something like major, like when's the closest new free hour?Is that four days out? Is that today? Or is it like 26 days out? And if it's 26, oh man, maybe e. You need to either look at hiring another assistant if you have chair time, or maybe you need to think about an associate. then again on the hygiene side, it's like, okay, when is the next hour and a half new patient block?Because if a new patient calls your practice and says, Hey, I want to join your practice and you say, well, great, I'll book you in four months. They're going to say, well, thanks, but no thanks. I'll call another office. And whereas if it's in like the next seven days, if you have like an option in seven days, they're going to be like, okay.It's maybe, Oh, I've got three options in the next two to three weeks. That's much more normal. Um, but you know, of course, I think we see a lot of dentists across the country who are scheduling out pretty far and that's where it's like, okay, well, let's maybe change what kind of patients you're going after.Maybe you need more emergency patients. Maybe you don't want them in hygiene. Um, or maybe you need to consider dropping some insurance participation, which would thereby lose you some patients, but it would Probably gain you more higher paying patients. So there's so many levers to turn, but by watching that weekly, you can see some of those indicators and it's, and it's, yeah, like I said, they're super simple.Um, almost to the point of, you know, just it's black and white numbers, but, uh, they are mostly instructive forward looking metrics that will help you kind of guide what decisions you want to make. Michael: Hmm. And then real quick, have you ever seen like a, like a, like a Uh, in your performance, it's spike and you're like, man, that was great, but maybe it might've been a fluke or you know what I mean?Where it's like, what did we do that week? And we're like, we didn't really do, I don't know what we did kind of thing. Does that happen? Addison: Oh yeah. Or yeah. Or, or drops and you're just like, well, what the heck? Like, and, and so, yeah, you always see those and you know, sometimes it's a, it's a, it's you just didn't treat my plan as much, but every patient accepted something and you're like, I got 100 percent case exceptions, right?And so you're super happy and you're like, well, that was just a fluke of, you know, you had a bunch of patients that love you and trust you. And so, yeah, sometimes you, you see that. Um, so it's always good to kind of watch when you watch these numbers with a weekly frequency, they're always in your head.And you kind of understand them. You don't have to kind of review back of like, well, what's the average or what's the high, what's the low. You just kind of know, okay, well that's a good number or this is a bad trend. And of course, one week of one bad number is not going to affect you. But when you start to see like, man, three numbers above that on the spreadsheet don't look very good.That's when you start to see, well, three or four weeks, that's a trend. And that's where. The data isn't, you know, just noise. It's actually a signal telling you something is wrong. Michael: Interesting. Okay. And then real quick, I know all the, that was your first book, right? You've come out with many more since then.Addison: Yeah. So we got, yeah, seven more. I think we have the dental operations manual, the dental marketing manual, the dental front office manual, the associates manual, the startup and the acquisitions manual. Cool. Oh, and the dental supply ordering manual. That's the one we just put out. I should remember that first, but, uh, that's a little bit of a smaller one. It's only like a hundred pages. it's the manual size. It's got tons of spreadsheets and stuff. Cause man, us dentists, we get ripped off a lot by, Companies that sell supplies for more expensive than they should be.So that book will save people like 20 grand right away. So that's, that's a big, big one. But the next book I'm excited about that'll probably be coming out in about a month to a month and a half will be the dental assisting manual. And that one's going to be really cool. So that if you're out there trying to train up dental assistants and teach them, okay.Cause I mean, a lot of us have good dental assistants, but like, what does it take to be really, really good? Like what thought processes, what systems can you put in place to help train up somebody maybe from scratch to be really, truly great. Um, and like, how should you set up those systems to take them from, you know, rookie to rockstar essentially.Michael: Nice. Awesome. So where can people find you if they have any questions or concerns, or they want to know more information about the books? Addison: Yeah. So, uh, all the books for sale on Amazon. com so you can order them there. Um, or you can check, uh, out any of my information and stuff at, uh, AddisonKilleen. com. So A D D I S O N and then K I L L E E N.com. Michael: Awesome. So that's going to be in the show notes below. And Addison, thank you for being with me on this Monday morning episode. Addison: Thank you.‍

Electronic medical record giant Epic has accused interoperability company Particle Health of violating HIPAA and putting patient medical records at risk. The dispute provides an early test of the new federal interoperability framework.So why exactly are they fighting? And what does it mean for patient rights and the future of medical record sharing?TOPICS(2:15) Misuse of Personal Information(4:39) The Broken Market of Healthcare Data Players(6:49) Access to Medical Data Beyond Treatment(8:49) The Broad Potential and Narrow Definitions in Health IT(11:24) Privacy Concerns and Data Usage in Insurance(13:31) Reducing Medical Costs and the Role of Data(16:08) Moving towards faster implementation of TEFCA(18:41) Navigating the Health Data Exchange Landscape

The Cybercrime Magazine Podcast brings you daily cybercrime news on WCYB Digital Radio, the first and only 7x24x365 internet radio station devoted to cybersecurity. Stay updated on the latest cyberattacks, hacks, data breaches, and more with our host. Don't miss an episode, airing every half-hour on WCYB Digital Radio and daily on our podcast. Listen to today's news at https://soundcloud.com/cybercrimemagazine/sets/cybercrime-daily-news. Brought to you by our Partner, Evolution Equity Partners, an international venture capital investor partnering with exceptional entrepreneurs to develop market leading cyber-security and enterprise software companies. Learn more at https://evolutionequity.com

The company belatedly conceded both that it had paid the cybercriminals extorting it and that patient data nonetheless ended up on the dark web. Read this story here. Learn more about your ad choices. Visit megaphone.fm/adchoices

When clinicians have the right patient data at the right time, they can drive better outcomes -- and their organizations can thrive in value-based care programs, too. Get an in-depth look at the athenahealth ecosystem and the way we're partnering with numerous  sources of patient data to ensure clinicians have the full story. You can even hear about the steps we're making toward using AI to summarize external data for clinicians reviewing patient charts. Love the podcast? Leave us a review! Have ideas on how we can improve it – or what else we should cover? Email us at podcast@athenahealth.com.

In this episode, I'm joined by Dr. Eugene Chan, a leading figure at the intersection of healthcare and technology. We delve into the profound impacts of artificial intelligence and technological advancements on patient care and the pharmacy sector. Dr. Chan's insights shed light on the future of healthcare, emphasizing the critical role of innovation in driving patient outcomes and revolutionizing pharmacy business strategies. Join us as we explore the transformative influence of technology in the healthcare industry. https://abpro.com/ 00:01:31 - Introduction to Dr. Chan 00:04:20 - Pharmacy's Future 00:08:15 - Technology Impact 00:12:40 - Patient Data 00:15:55 - AI Developments 00:19:30 - Healthcare Trends 00:23:45 - Innovation Challenges 00:28:10 - Collaborative Approaches 00:32:50 - Business Models 00:36:25 - Closing Thoughts The Business of Pharmacy Podcast™ offers in-depth, candid conversations with pharmacy business leaders. Hosted by pharmacist Mike Koelzer, each episode covers new topics relevant to pharmacists and pharmacy owners. Listen to a new episode every Monday morning.