Dive With Data

In this first season finale of Dive With Data, Asha Saxena discusses the exciting new technologies and possibilities powering data analytics. Asha recaps what we’ve learned through season one of the podcast and shares her thoughts on how data is being used by corporate and industry leaders to drive a modern business revolution. What you’ll learn about in this episode: Why Dive With Data is an important platform for Asha to explore the power and potential of data How today’s top businesses are using data as the fuel to drive their explosive growth Why artificial intelligence, deep learning, and blockchain technologies are creating exciting new potential for the future How blockchain is benefiting businesses, consumers, and governments by securing data What questions you should be asking about the data your business has access to Why your organization’s leadership needs to be committed to the appropriate utilization of data How to contact Asha Saxena: Website: www.ashasaxena.com Twitter: @asha_saxena LinkedIn: www.linkedin.com/in/asha-saxena-22b8746

Asha Saxena talks with Adam Kiefer, Director of TEAM VR (Training Enhancement and Analysis of Movement Virtual Reality) Laboratory at Cincinnati Children’s Hospital Medical Center, about the emerging use of Artificial Intelligence in sports medicine. Deep learning is rapidly becoming an indispensable data tool in the world of sports. Deep Learning, a subset of AI focused on recognition and reinforcement learning, is being used in athletics to gather valuable information that can be used by medical experts to better understand sport-related injuries and develop new therapies. Deep Learning applications are being trained on large sets of data and then used to derive strategic insights into areas such as player capability, team tactics and injury management. AI can be used in sports medicine for treating injuries, but more importantly it is an emerging technology in the effort to predict and prevent injuries altogether. Learn more on today’s podcast. What you’ll learn about in this episode: Why Adam Kiefer is the “go-to” person to speak with about AI and machine learning in medicine Why concussions are difficult injuries for physicians to understand, predict, and personalize treatment Why analyzing real-time data sets is challenging for physicians and how machine learning and virtual reality can help How machine learning and VR overlap to assist in treatment and rehabilitation of injured athletes How Adam’s hospital has made strides in developing their AI and machine learning program in the past 18-24 months How the Virtual Reality Laboratory has worked to assist Cincinnati Children’s hospital improve the treatment and prevention of injury How Augmented Reality has become a crucial tool in simulations that allow very detailed data to be collected What lessons Adam and his team have learned from integrating machine learning and VR into their research work Why Adam is excited about the potential that Augmented Reality and machine learning have to advance the personalization of care Adam’s advice for people who are interested in the role of machine learning and VR in data analytics Ways to contact Adam: Twitter: @awkiefer LinkedIn: www.linkedin.com/in/adamwkiefer

Asha Saxena explores data and analytics governance with Isaac Wagner, Director of the Strategic Analytics group at Memorial Sloan Kettering Cancer Center in New York, a state-of-the-art cancer treatment facility using cutting-edge innovations to treat all kinds of cancer. In this episode, Isaac Wagner discusses the importance of having a solid governance structure, the difference between data groups and analytics groups, and how data can be utilized to inform decision-making and problem-solving within a business. Governance is all about behavior. Workforce skills, technology, and organizational models are aligning to ensure that the data available to a business is factual and consistent. Learn more on today’s podcast. What you’ll learn about in this episode: How data groups are responsible for collecting facts and statistics and organizing the data for use and review How analytic groups review data and use it to answer questions and make business decisions Why the Strategic Analytics group falls under the strategy heading instead of IT at Sloan Kettering and the advantages that arrangement offers What unconventional methods Isaac uses to mentor and train his team to better serve the business Why analytics governance is as important as data governance and why governance is crucial for ensuring consistency Which best practices are key to analytics and the effective utilization of resources How Sloan Kettering has transformed data analytics by incorporating programming code What challenges Isaac faces in the implementation of unified analytics standards throughout his organization Why it’s important to understand, define, and clearly state the impact of a project’s outcome Why the role of analytics is understanding the problems of a business and how they impact its long-term objectives Ways to contact Isaac: LinkedIn: www.linkedin.com/in/isaac-wagner-4502663

Asha Saxena speaks with Boris Kerzhner, the Chief Data Scientist at BookXchange, a business specializing in purchasing and sales of textbooks to students and wholesalers worldwide. Boris was tapped to run the retail arm of the business, and he uses game theory and data to help make buying and selling decisions to dramatically increase the profitability of BookXchange. Game theory deals with the understanding of strategic situations. Its purpose is to find an optimal solution to a given situation. Game theory can be used for investing, customer engagement, product placement, and many other varied business applications across many industries. Big data analytics is one of the core technologies used by businesses in today’s ever-evolving marketplace for decision making and game theory application. Learn more on today’s episode. What you’ll learn in this episode: How BookXchange differentiates itself from other companies in the college textbook space How Boris leveraged his background as a mathematician to convert the principles of game theory into his career as a data scientist How Boris uses game theory to identify his competitors’ prices for textbooks to maximize ROI and profitability on his own sales How machine learning and artificial intelligence are challenged by the unique properties of the textbook sales business What tools Boris finds most useful for pricing and selling textbooks on Amazon Boris’s advice for starting to learn and utilize game theory, AI, and machine learning tools How Boris obtains, analyzes, and uses the information he gathers from competitor product listings Boris’s advice, thoughts, and recommendations for people who are interested in using data in their own business Ways to contact Boris: LinkedIn: www.linkedin.com/in/boris-kerzhner-67b85717

Asha Saxena speaks with Diwakar Goel, Chief Data Officer for GE Digital. Diwakar has been with GE for thirteen years, through eight different positions within the organization. Through all his varied roles at GE, he has experienced firsthand the power of data management in transforming his business to meet the challenges of the modern, information-driven technological era. In this episode, Diwakar Goel discusses navigating and leveraging the immense amounts of data available to companies today and understanding how the data sets interact and overlap to drive profitability and solve problems. Data management is one of the most integral skills businesses must learn to navigate the new challenges and opportunities promised by the technological advances of the new millennium. Learn more on today’s podcast. What you’ll learn in this episode: How Diwakar Goel moved through various tech positions within GE and became their Chief Data Officer The difference between using an outcome-based approach and a domain-based approach to solve problems How new advances in realtime data, AI and machine learning have altered the way businesses can use and disseminate data Why the finance sector has been one of the biggest historical drivers of data usage, and why the future of data goes beyond finance How Big Data is using automated algorithms to help customs personnel streamline their import categorization efforts How machine learning can be an amazing tool to assist the banking industry in their decision-making processes How entrepreneurs can get started in harnessing the power of data to grow their businesses Examples of how Big Data has most impacted his organization for the better, in both operations and management Why Diwakar believes we need to view governance in a different light to improve data management rules Why it’s important to be willing to take risks, have fun, and value the contributions of your team Ways to contact Diwakar: LinkedIn: www.linkedin.com/in/diwakargoel

Asha Saxena discusses the importance of data in the rapidly changing healthcare industry with guest Vijay Venkatesan, Chief Analytics Officer of Horizon Blue Cross Blue Shield of New Jersey. In this episode, Vijay Venkatesan discusses how consumer expectation of healthcare is shifting, why the relationship between providers, patients and payers needs to evolve, and how advances in technology have the potential to reshape healthcare to the benefit of everyone involved. New technologies in computer science and data analytics can be powerful tools, but only if they are used to answer the right questions. What you’ll learn in this episode: How Vijay’s career journey has taught him lessons about the use of data and its application in healthcare How the healthcare industry is using data to adapt to today’s market and legal realities The challenges and opportunities of collecting and sharing data within the healthcare industry How new technologies such as AI and deep learning have the potential to change the way data can be gathered and utilized Why data technology needs to be used in the service of benefiting patients Which potential applications for decision automation present the greatest opportunities within the healthcare industry Steps you can take to best understand the role of data analytics in your own business Why the difficulty of predicting human behavior is the most challenging problem data analytics must solve Which changes and opportunities in healthcare data Vijay believes will take place in the next decade Why “listening to understand” is the key to solving problems and making an impact within your organization Ways to contact Vijay: LinkedIn: www.linkedin.com/in/vijaybvenkatesan

Asha Saxena explores the power of business transformation with Sandeep Katarnavre, CIO and VP of IT of Saint-Gobain, world leader in the habitat and construction markets, design, manufacture and distribution of building and high-performance materials. In this episode, Sandeep Katarnavre discusses business transformation and how thinking big can help businesses unlock the value of transformation, find hidden opportunities, and generate new value. Data is at the heart of business transformation, informing efforts to optimize customer engagement, achieve efficiencies and cost savings, and scale digital offerings. Learn more on today’s podcast. What you’ll learn in this episode: How Sandeep began his career as an electrical engineer and went on to become a business transformative leader Why Sandeep believes that humility is one of the cornerstones of success Lessons in business transformation that Sandeep has learned over his 25-year career Why it’s critical that CIOs fully understand the businesses they are serving, their competition, and their customers’ customers and suppliers’ suppliers What business transformation really means and how Sandeep has used technology as a core component of transformation in his work Some of the common pitfalls businesses experience during the transformation process and how to avoid them Case studies in successful business transformation from Sandeep’s career Sandeep’s thoughts on how robotics and other technological advancements will change the workplace of tomorrow Why Sandeep believes it’s important to continue to learn new technology, grow in your role, and be passionate about what you do Why Sandeep wants “paying it forward” to be a big part of the legacy he leaves in his career Ways to contact Sandeep: LinkedIn: www.linkedin.com/in/sandeep-katarnavre-2832485

Asha Saxena explores the vital role chief data officers play in businesses with CEO and founder of CDO Club and CDO Summit, the world’s first, largest, and most powerful community of C suite and digital leaders, David Mathison. In this episode, David Mathison discusses the roles of chief data officers, what it takes to earn top marks as a CDO, and how ordinary people can affect huge technological advances through open-source technology and massive data sharing. With great strides happening every day in the world of technology, there are abundant opportunities for people from all backgrounds to contribute. Learn more on today’s podcast. What you’ll learn in this episode: What the ideal candidate for the role of a CDO looks like Why a well-rounded background is essential for someone who steps into the role of a chief data officer Who the first chief data officer of the year was and why that person was selected The way real world people are banding together to create solutions for real world problems The role big data plays in communities, like Kaggle, and how it wouldn’t be possible without people posting and sharing their information in an effort to seek real solution to these huge, complex problems How tools like Watson, Siri, and Google Voice have the potential to evolve to a point where they can solve complex problems in the home and in the world Why it isn’t necessary to have a technical or engineering degree to accomplish things in technology thanks to all the open source technologies available Real world examples of Watson and similar technologies, for instance, diagnosing specific kinds of cancer or obscure diseases, because it remembers all the data from research papers, books, etc. How technology isn’t replacing people for certain roles but elevating them by assisting them in offering specific information faster and with greater accuracy Why David believes it is necessary to always be learning – and willing to share what you’ve learned with others Ways to contact David: LinkedIn: www.linkedin.com/in/davidmathison

Asha Saxena explores trends and VC investments in healthcare with Harry Glorikian, who wears many hats including investor, entrepreneur, board member of many healthcare ventures, and author of MoneyBall Medicine: Thriving in the New Data-Driven Healthcare Market. In this episode you will learn about the many ways data is driving healthcare technology and the money that funds it as well as how data impacts how medicine is practiced today. Technology has certainly changed medicine, but data is changing the way medicine is being practiced by large and small healthcare providers throughout the country. This episode explores those changes. What you’ll learn in this episode: How data is transforming the way medicine is practiced today The various tools and data driven technologies that are available today to improve the patient care experience Why you can’t compare prices and services in modern healthcare and why this makes it unlike any other industry How common gadgets like a fitness band or Apple watch indicating an off-kilter heartbeat can be instrumental in saving lives and assisting with early detection of potentially serious health problems The staggering number of ways data analytics is being used in healthcare today to measure everything from the quality of care patients receive to the performance of equipment, equipment utilization, and even things like radiation exposure The various ways the massive collection of information effects changes in the way healthcare facilities and service providers operate How big data is changing the way drug trials are being conducted The ways technology is providing greater transparency in the field of medicine when it comes to trials, treatments, and even patient disclosures Various fields budding entrepreneurs with an interest in technology and data might pursue for potential profits What entrepreneurs need to make their marks in big data when it comes to healthcare Ways to contact Harry: LinkedIn: www.linkedin.com/in/harryglorikian Book: MoneyBall Medicine: Thriving in the New Data-Driven Healthcare Market

Asha Saxena explores cognitive technologies and artificial intelligence with Deloitte Consulting cognitive analytics and RP alliance portfolio leader, Tracy Ring Cryder. In this episode we explore how businesses are taking a second look at cognitive technologies thanks to wide advancements in these technologies in recent years and the type of impact we can expect from more businesses adopting these technologies. Technology is evolving all the time and the better industry leaders, in all business sectors, understand the technology available to them, the wiser decisions they can make about investing in these technologies. What you’ll learn in this episode: The surprising ways most businesses begin the process of procuring new visualization tools and why that means that anyone in the organization now has the opportunity to influence the future or organizations Why Tracy believes it’s important for businesses to get accustomed to change – because technology is evolving so rapidly forcing change in many cases The reason Tracy’s organization shifted down from five-year roadmaps and strategies to only three and how she’d like to see it shift further down, to 12 or fewer months if possible Why Tracy believes it’s important to bridge the gap between business and technology and how businesses are becoming more tech savvy and tech companies are becoming more business savvy, creating better innovation and products How young professionals and interns are driving innovation in the workplace and why that’s a great thing for businesses The roles women play in driving technology and how it’s not only young women that are playing major roles in this push The huge gender gap in the technology industry and how the numbers of female executives in successful firms were more than double the number of female executives in unsuccessful firms How women are uniquely positioned to deal with the diverse challenges presented by technology in business Why diversity drives not only technology, but also business success as well, which is why it’s important to hear many voices in the process Ways to contact Tracy: LinkedIn: www.linkedin.com/in/tracyring

Asha Saxena explores using AI and machine learning to help new business owners achieve their goals with Manoj Madhusudanan, founder of the AI driven B2B sales targeting platform Ziligence. In this episode, we go into the different ways data helps drive the results companies are looking for. Many entrepreneurs have little knowledge of different data tools on the market to use in shaping different aspects of their company. AI and machine learning developments progress at a rapid pace. We go over the different ways new businesses could benefit by adapting at least some of their core processes to work with this technology. What you'll learn in this episode: What Manoj learned during his formative years as a consultant for the firm Accenture and watching the how data analytics began driving process automation How Manoj recognized the opportunities data analysis and machine learning could provide to business owners during her time as a consultant Having the confidence to leap into something new and embrace still-emerging technology Navigating the gaps between the expectation of AI and the limitations of AI products currently on the market The way AI and machine learning continues to rapidly advance in a very short time period and the importance of developers sharing what they’ve learned Manoj’s admiration for Google’s dedication to pushing for advancements in the world of machine learning How AI already impacts many tools used today to make business connections like LinkedIn or Facebook Manoj’s belief that people at all levels of business need to have some basic understanding of AI Learning to take AI and machine learning capabilities into consideration when building out a new business venture The importance of applying the right technology to different business processes and making sure it fits a specific business case Ways to contact Manoj: LinkedIn: www.linkedin.com/in/manojmadhusudanan

Asha Saxena explores cyber security and the future of Big Data with venture capitalist Ray Rothrock. In this episode, we’ll talk about how Big Data is impacting cyber security and how businesses can overcome the common challenges associated with Big Data, from keeping sensitive information to finding the right talent to process and analyze the data. Without a doubt, Big Data is here to stay, which is why all businesses should focus on learning how to effectively use it. What you’ll learn in this episode: How businesses can effectively use the large amount of data they’re collecting How Big Data is introducing new possibilities when it comes to analytics and also giving cyber criminals more opportunities to access large amounts of sensitive and personal information How businesses can overcome common challenges when it comes to Big Data, such as protecting personal and sensitive information, establishing data rights and ownership, and not having the talent to analyze the data How the federal government should play a role in protecting data in the United States by enacting new policies The debate over whether the United States federal government should have a cyber army to protect data How the United States is falling behind due to the lack of cyber capability and a cyber military academy How Big Data businesses need to consider collaboration with other industry peers to ensure the security of sensitive data The importance of securing open source software like Hadoop The importance of maintaining and monitoring audit logs across all facets of a business How Big Data presents enormous opportunities for businesses that go beyond just enchanted business intelligence How cyber attacks are automated and tend to hit small companies the hardest How Israel has become a key leader in the cyber security industry Ways to contact Ray: Twitter: @rayrothrock

Asha Saxena discusses the important topic of building business value using data as a core element with Doug Schmidt, a Chief Information Officer, Chief Technology Officer, and an entrepreneur. In this episode, we ask a very important question: can we lead with innovation using data strategy to drive business strategy? Company leaders put a lot of emphasis on business strategy and not enough on data strategy. Even when leaders track key metrics, they often measure the wrong ones when they lag data strategy behind their decisions. How can we use data to drive the culture of our businesses? Listen in to find out how. What you'll learn in this episode: Using business strategy to show you where to start and which route you should take to the destination How mistakes often occur because businesses are operating within a culture that is not driven by data How successful people in the business world tend to focus more on the results rather than the process and methodology and how focusing too much on the results can hinder one's ability to deliver on the expectations they set for themselves The stigma that technology and those who work in this industry have of not being collaborative and not understanding how a business truly works Why technology is playing a greater and greater role in businesses with each passing year How technology has essentially depreciated, and in some cases, eradicated the world's oldest businesses The ways technology has changed how we consume media and how companies are targeting audiences for advertising Ways to contact Doug: Twitter: @bigdougschmidt

Asha Saxena discusses the importance of healthcare leader cohesion with Chief Data Officer at John Hopkins Healthcare, Nick Minale. In this episode, we explore the emergence of coordinated, mutually aligned partnerships created to maintain constant healthcare for the entire population. From the care continuum of care data to the role of facility standardization, the episode will pinpoint the uses—and risks—of our ever-growing information world. Data, today, drives everything. Let us equip you with the modern knowledge you need to understand the healthcare world’s newest opportunities—as everything from AI to data governance suites are changing the way providers conduct business. What you will learn about in this episode: How consolidation has become a new healthcare provider goal, inspiring today’s leaders to unite with big-name providers in order to strategize cost-effective solutions How John Hopkins Healthcare is bringing its community together, facing the new world of healthcare by promoting partnership opportunities and reducing customer costs The growing need for data in the healthcare world and why the industry’s future, experts believe, relies on advanced analytics to deliver the right plan to the right people—and at the right time The roll of data privacy as the healthcare industry grows to offer custom-tailored treatments How leaders like Nick Minale discern valuable data from numerous sources, understanding which “crown jewels” of information could redefine the population’s health How device data is selected, powering electronic medical records with astounding detail about patient lifestyles How the smartphone, itself, has changed the healthcare world The evolution of AI with respect to healthcare systems, as well as the ways today’s healthcare companies are using data governance to achieve new goals The power of predictive analytics, as well as its ability to “clean up” data—making it more accessible to healthcare providers What makes a “master data” toolset, ranging across organizational architecture, determining data relevancy and staying adaptive in our ever-evolving technology world How data not only increases organizational quality, but also the quality of life for patients Ways to contact Nick Minale: LinkedIn: www.linkedin.com/in/nickminale Website: www.hopkinsmedicine.org

Asha Saxena explores big data and how companies can use it to their benefit with Dun & Bradstreet’s Senior Vice President and Chief Data Scientist, Dr. Anthony Scriffignano. In this episode, we uncover the fears that so many people and companies share with regard to big data. In our culture, we value privacy, and people feel as though with big data, nothing is sacred anymore, nothing is private anymore. Dr. Anthony Scriffignano explores this notion and provides insight into how big data is not scary but useful if curated to be used strategically. Big data is here to stay. Businesses are using it, and if you don’t start using it in a meaningful way, you could be left behind. What you will learn about in this episode: What it means to organize big data so that it is highly dynamic data, which can provide the clearest, fullest view of any given company on earth An understanding that there are many different perspectives and different interpretations of artificial intelligence and that it is not easily lumped under one definition What it means to be human versus what it means to be a robot and how far we have come in today’s society and yet still have so far to go What it means to not be scared of science, why that’s important, and why — though you should not fear it — you should be cautious of it A discussion on reason and how humans understand the “why” of what they do but robots or artificial intelligence does not understand the “why” component, which is a very important component of learning and growing intellectually A discussion of our conscious selves and how this process is present and absent in artificial intelligence The meaning of privacy and regulation, big data’s role in these things, and how it is changing the world we know Why some of what we fear — that our privacy or everything we do is discoverable — is relevant and reasonable but it does not mean that it is a bad thing because data can change the way we do things for the better Why the cost of doing nothing is not something without a cost any more (and why doing nothing can actually turn into something costly) Why action matters today and why you must act on the data you have to perform better and be better Overall, how technologies continue to advance and evolve, how the evolution is changing the world, and how we can use it for positive purposes Ways to contact Dr. Anthony Scriffignano: Twitter: @Scriffignano1 LinkedIn: www.linkedin.com/in/anthony-scriffignano-ph-d-9165845

Asha Saxena examines transitions in how the healthcare industry manages and uses data during her conversation with Richard Cramer, the chief healthcare strategist at Informatica. Richard offers his perspective on changes in how healthcare providers gather and analyze data, as well as trends we should expect in the future. This data disruption in healthcare will continue in dramatic fashion, allowing us to improve delivery of services at lower costs. Join us as we discuss how this disruption will occur and what type of players will lead the disruption. What you will learn about in this episode: How the healthcare industry has evolved during the past 25 years from a state of not having the necessary data or cultural readiness for using it to an environment in which we have the data and can now combine cost, quality, and efficiency Why many organizations need not worry about dragging a burdensome “data boat anchor” as they change Ways that machine learning and AI can assume much of the administrative burden by automating routine processes for doctors, nurses, and other clinical staff How coordinated care will use predictive modeling in ways that go beyond patient identification and risk cohorts to get to a deeper individualized level Ways that electronic data promotes an environment that allows us to move away from Byzantine rules of the past toward a consumer-based market where we can go where we want and select services we want Reasons that new players such as Amazon and Chase have come into healthcare, as well as the way that firms like CVS have started to redefine their role What healthcare professionals can do to innovate their operations with their ability to access and understand clinical data, consumer data, and patient experience data How data management is no longer relegated to a back room by techies and instead becomes better understood throughout the organization Why consumerism is the future as consumers feel empowered to make their healthcare decisions that involve lower cost care settings than traditional hospitals How we should expect a revolution in the use and management of electronic health records as we better understand the value of the data within them Ways to contact podcast host Asha Saxena: Email: Asha@divewithdata.com Phone: 732-887-0980

Asha Saxena speaks with Ari Caroline and Issac Wagner about their progress with artificial intelligence and big data in clinical trials at the Memorial Sloan Kettering Cancer Center. In this episode, the role of big data and artificial intelligence and its impact on cancer patients who participate in clinical trials is discussed candidly and pragmatically. Big data and artificial intelligence are changing the way we think about healthcare and altering the way it is applied to patients. With big data and artificial intelligence, healthcare will never be the same again. These things are transforming healthcare into a more meaningful and custom approach to personal care. Though this discussion is specific to oncology clinical trials, it nonetheless provides an overview of innovative ways healthcare is changing to improve and accommodate patients’ health issues and experiences in the healthcare system. In this podcast, you will hear all you need to know about advancements and limitations of big data and artificial intelligence and their impact on healthcare. What you will learn about in this episode: How big data is informing and advancing the technology behind oncology clinical trials What machine learning is and how it is used to be more proactive in healthcare What it means to reuse big data to learn more about the patient and inform future personalized care How using technology and a patient’s data will change the way care is delivered What’s needed in healthcare today to get the clinical information needed to promote better care How data has informed the operational side of healthcare to improve communication and doctor visits What are predictive and prescriptive models and artificial intelligence’s role in these models What the tools are that we need to advance artificial intelligence to perform better, specifically to perform better in pathology and radiology Are we in a position yet where computers will take over the role of doctors? Why data organization and management is so important Ways to contact podcast host Asha Saxena: Email: Asha@divewithdata.com Phone: 732-887-0980 Ways to contact guest speaker Ari Caroline: Twitter: @aricaroline Website: Memorial Sloan Kettering Cancer Center

Asha Saxena takes a deep look at what data privacy and ethics means in the world of healthcare with Darrell Walter of Penn State Health. Data privacy and ethics in healthcare is a big deal, because it affects all of us on at least some level. From health insurance premiums, healthcare access, employment, and even on a personal level of not wanting all our personal health information being made available to anyone who wants it. So why is this worth a discussion? We have data protection laws, right? Well, this is where we step into a gray world. Big data in healthcare raises ethical issues because the data is used without a patient’s consent. Medical records are governed by rules to protect privacy so most health data can be stripped of identifying information like your age or your lifestyle habits. However, it could cross into an ethical gray area if patient privacy is compromised. Meanwhile, the federal government has opened an immense store of healthcare knowledge including data from clinical trials and information on patients covered under public insurance programs. And finally, patients are generating and sharing their own data through smartphone apps and online patient communities and many of these programs and communities lack strong data protection. It’s a little scary, but there are also some huge benefits that come along with the use of this data. Darrell Walters helps us explore these benefits from identifying rare cancers to truly personalized healthcare. Let’s get started with this episode of Dive With Data! ----- What you will learn about in this episode: What are the risks and opportunities that sharing our healthcare data affords us? How big data has helped Penn State Health reduce sepsis mortality by 25 percent. The ethical questions of healthcare data and clinics advertising to patients based on that data. Should healthcare data gathering include our social posting to understand our lifestyle habits better? The difference between being application centric vs data centric as an organization. What is data governance and why does it matter? Why implementing common data models is important for more than just one organization. What drives the location and types of services health networks provide in an area. Ways to contact Asha Saxena: Email: Asha@divewithdata.com Phone: 732-887-0980  

Asha Saxena explores telemedicine and the future of healthcare with NewYork-Presbyterian CIO, Daniel Barchi. In this episode we explore what telemedicine is, how big data is impacting healthcare and how virtualization of healthcare is transforming the industry from the ground up. Everything from access to physicians, reduced costs and improved health outcomes. Healthcare is changing at an astounding rate and what you know today will be out of date before you know it. Let us provide you with a framework for understanding telemedicine and its impact on healthcare and patients alike. What you will learn about in this episode: What is telemedicine, and why does it matter to patients? How healthcare is balancing the needs of protecting patient data while addressing the need to share information more than ever. The roll AI is starting to play in the lives of physicians, and patients from diagnosis to research. How healthcare is changing the paradigm of needing physical locations for healthcare solutions using telehealth. What happens when big players decided to step into the healthcare industry from outside the industry. Where is the line between AI and physician decision making and responsibility? What is the healthcare industry doing to tackle data security, and who owns that health data? How hospitals are creating a true continuum of care from first visit through post care. Ways to contact Asha Saxena: Email: Asha@divewithdata.com