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PODCAST · health

Health Data Ethics

by Jennifer Owens

Health tech conversations, from a healthcare IT professional. We're going to talk about medical innovation, technology, and the ethical and operational considerations for health systems. In other words: it's gonna get super nerdy, super fast!

Publisher-supplied feed metadata · PodParley refreshed Apr 16, 2024 · Source feed

Episodes

  1. How Do We Train Users on Healthcare AI?

    This week's episode of the Health Data Ethics podcast tackles Education and Training, Element 7 on the Joint Commission / CHAI responsible AI framework. None of the first six elements do much if the people using the tool every day don't understand what it does, what it can't do, and what to do…

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  2. When Do We Evaluate Bias in Healthcare AI?

    In this episode, we tackle Joint Commission and CHAI framework element six: AI bias in healthcare. We talk about how bias enters through biased data, biased algorithms, and biased human actions on outputs. We look at the Obermeyer 2019 Science paper, the Joint Commission/CHAI RUAIH framework, and…

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  3. How Do AI Safety Events Get Reported?

    In healthcare, we have decades of safety event infrastructure built to help us collectively learn from failure. But when an AI tool makes an unsafe recommendation, degrades after a model update, or produces biased outputs, there's no systematic place for information to go, so that we, and others,...

  4. Who's Watching Your AI After It's Deployed?

    Your EHR vendor can push an update to the AI model inside your clinical decision support tool, and you might not even know it happened. What you validated last quarter may not be what you're running today, but you're still the one holding the liability. That's what we're covering in this Health...

  5. Hiatus! Just for a bit.

    I'm taking a brief break as work and life have both ramped up, leaving me in need of a few weeks to prep some great content for you. I'll be back later in the summer!

  6. What does Privacy and Transparency Mean Anyway?

    This week's Health Data Ethics podcast continues our series on the Joint Commission and CHAI guidance on the responsible use of health AI. In this episode we're digging into privacy and transparency. The guidance itself is reasonable. What I spent most of the episode on is how you actually...

  7. How Do You Get AI Policy Approved?

    Getting an AI policy approved in a large health system is a different skill than writing one. In part two of my AI policy series on the Health Data Ethics Podcast, I share what months of drafting, socializing, and navigating formal approval at Cleveland Clinic actually looked like: the champions...

  8. How Do You Write an AI Policy?

    Writing an AI policy sounds straightforward — until it becomes the place where everyone in your organization hangs all their hopes and dreams for AI governance. In this episode of the Health Data Ethics Podcast, I walk through the first item on the Joint Commission and Coalition for Health AI's...

  9. What's the White House Thinking About AI Regulation? Part Two

    Part two of my breakdown of the White House National AI Policy Framework — what it says about workforce, what it leaves out, and what it would take to become law. The workforce section has good instincts but no mandates, no funding, no timelines. In healthcare, this can create a patient safety...

  10. What's The White House Thinking About AI Regulation? Part One

    This week's episode of the Health Data Ethics Show: The White House just released a four-page legislative framework asking Congress to pass national AI policy this year. Not a law. A wish list, but one that tells us a lot about where federal AI policy is heading. In this episode I break down what...

  11. Can ChatGPT Tell Me When To Go To The ED?

    In this week's episode of the Health Data Ethics Show, I dig into a new Nature Medicine paper that stress-tested ChatGPT Health across 960 clinical vignettes. ChatGPT Health performs remarkably well in the middle of the acuity spectrum, correctly triaging semi-urgent and urgent cases at rates…

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  12. What's AI's Impact on the Labor Market?

    Last week, Anthropic published new research on the labor market impacts of AI. In this week's episode, I break down what the paper actually says, why the gap between theoretical and observed AI exposure matters, and which workers and which sectors are most impacted. Those workers, and the people...

  13. What's New with AI in Hiring, with Brad Owens of Asymbl

    In this episode, I invite special spousal guest Brad Owens to help explore a landmark federal court case involving Workday’s AI-powered hiring tools and potential implications for AI governance in employment and healthcare. Join us as we dissect the legal, ethical, and technological facets of AI...

  14. Can AI Help Patients Manage Their Blood Sugar?

    In this week's Health Data Ethics podcast, I dissected a 2023 JAMA study on using a voice-based AI tool to coach patients through insulin titration in type 2 diabetes. Big thanks up front to Aida McCracken who listened to me work through this one! The results were encouraging—patients hit optimal...

  15. What Happens When AI Gets the Sources Wrong?

    This week, I recorded a new episode of Health Data Ethics about FDA and EMA’s joint principles on AI in drug development. I used ChatGPT to help generate a draft. I loved it, until I started fact checking. It cited a section of a review paper that didn’t exist. Referenced a tool that never…

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  16. What's Readiness for AI In Healthcare? With Dr. Sahar Hashmi, MD, PhD

    Just had a brilliant conversation with Sahar Hashmi MD-PhD—one of my favorite people to talk AI-in-healthcare with. Dr. Hashmi made a powerful case for customized AI workshops tailored to clinical teams. We also unpacked: - What healthcare can learn from other industries - Why assessing AI...

  17. When Is AI A Medical Device?

    I recently spent time unpacking the FDA’s clinical decision support software guidance and what it really means for healthcare organizations deploying AI. At the center of the guidance is a simple question: when does software cross the line into being regulated as a medical device? The FDA lays…

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  18. What Does Ohio Law Say About AI?

    In this week’s Health Data Ethics episode, I break down four proposed bills in Ohio that aim to regulate artificial intelligence. These aren’t laws (yet). But they are early indicators of where state-level AI governance is headed, and the healthcare sector is definitely in scope. We also zoom out...

  19. What Does AI Governance By Design Mean? With Nick Woo of AlignAI

    In this week's podcast episode, I had the chance to chat with Nicholas Woo of AlignAI about AI governance by design at multiple stages of AI development and implementation. We also talked about how easily great technological solutions can get stalled when they don’t fit into existing workflows or...

  20. What Makes An AI Scribe Good?

    In this week’s episode of the Health Data Ethics Podcast, I dive into a recent JAMA Network Open study that looked at ambient AI scribes in primary care settings — what worked, what didn’t, and where we still need better evidence. I also tackle what makes a successful scribe deployment, and end…

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  21. What's The Joint Commission Saying About Healthcare AI These Days?

    We’re officially in a new era: the Joint Commission has released guidance on the responsible use of AI in healthcare, developed alongside the Coalition for Health AI (CHAI). The guidance lays out a clear framework for responsible healthcare AI that includes: 🏛️ Strong governance structures 🔐...

  22. What Happened With Explorys and IBM Watson Health? With Doug Meil

    This week on the Health Data Ethics Podcast, I sat down with Doug Meil to talk about his new book, "The Rise and Fall of Explorys and IBM Watson Health." What started as a discussion about a decade-long journey in health tech turned into a reflection on ambition, acquisition, and the hard-earned...

  23. Can AI Untangle Healthcare’s Supply Chain? With Kylen Bailey, Clarium

    Just had a fantastic conversation with Kylen Bailey, Executive Director of Growth at Clarium, on the latest episode of the Health Data Ethics Podcast. We dug into a topic that doesn’t get nearly enough attention in the AI-in-healthcare hype cycle: the supply chain. More specifically, how AI can...

  24. What Can We Learn When Agents Fail?

    In this week's episode of the Health Data Ethics Podcast, I dig into something that doesn’t get enough airtime in healthcare AI conversations: what we can learn from the projects that don’t work. A recent MIT study suggests that up to 95% of AI pilots don’t deliver a measurable return on...

  25. Can We Make Health Tech Great Again?

    This week on the Health Data Ethics Podcast, I unpack the recent announcement from CMS about the Health Technology Ecosystem and what it could mean for patient access to data. I dive into: Why CMS is using a pledge instead of regulation The current state of HIEs and where TEFCA fits in The real...

  26. What's in the AI Action Plan?

    On this week’s Health Data Ethics Podcast, I break down the AI Action Plan released in July 2025—a big move in how the U.S. is approaching artificial intelligence policy. I walk through the plan’s three central pillars and what they could mean for the future of AI in healthcare and beyond. We…

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  27. What *is* Your Brain on ChatGPT, Anyway?

    In this week’s episode of the Health Data Ethics Podcast, I dove into one of my favorite recent papers: "Your Brain on ChatGPT: Accumulation of Cognitive Debt When Using an AI Assistant for Essay Writing." I loved reading about how the researchers explored the mental trade-offs when using ChatGPT...

  28. AI Perspectives From EHRs and Healthcare Providers, with John Valutkevich of Drummond Group

    I sat down with John Valutkevich from Drummond for the latest Health Data Ethics Podcast to talk through their new report on AI adoption in healthcare. We dug into the gap between curiosity and actual deployment. Everyone wants AI, but fewer are ready for the governance, risk management, and...

  29. What Does AI Blackmail Teach Us About Transparency?

    This episode of the Health Data Ethics podcast unpacks a strange behavior observed in Claude during Anthropic’s internal testing — specifically a simulated blackmail attempt — and why that kind of behavior matters for healthcare. What stood out most wasn’t the incident itself, but the way…

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  30. What's Your Advice for BRMs? With Jack Stock

    In this episode I talk with Jack Stock, Senior IT BRM at Cleveland Clinic, about changes he's seen in the field over his career. Jack also shares some sage advice for BRM programs looking to mature.

  31. What Does AI Driven Leadership Look Like?

    In this episode, I talk about Hacking Healthcare, a recent read by Tom Lawry. We're going to digest his thoughts on AI-driven leadership in healthcare, thinking about "value" and "shareholders" a little differently, and encourage a tolerance for learning systems.

  32. How Do Health Systems Use Analytics? With Erik Swanson

    In this episode Erik Swanson and I dig in on #ai and #analytics in health systems. Erik shares his expertise on choosing problems and good KPIs rather than being swayed by a cool solution, as well as focusing on the science of #healthcare delivery.

  33. How Does Bias in STEM Affect Us? With Jasbir Kooner, MBA

    In this episode I interview collaborator, AI master, and book-recommender extraordinaire Jasbir Kooner. We talk about her experiences with gender bias in STEM, and I ask for her advice for all folks in STEM who want a more equal playing field. Books referenced: Good Guys: How Men Can Be Better...

  34. What Does the AMA Say About AI?

    In this episode, I cover AMA's recent report on the Future of Health, in which they summarize the current #ai landscape, and argue persuasively for the use of "augmented intelligence" rather than "artificial intelligence." They close with stats on the desire of physician stakeholders to be…

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  35. Is AI Good For Hospital Business?

    In this episode, I discuss my attempts to learn about business strategy. I use both a classic history of business strategy and a recent financial report on the healthcare sector to probe whether AI is good for hospital business. Book: https://www.goodreads.com/en/book/show/6214316 Report:...

  36. Who Should Hospitals Partner With For AI?

    In this week's episode I talk about a recent article about trust in genAI. I started listening to a fascinating podcast with Yann LeCun about the consolidation of AI in just a few companies. For a healthcare system, there are interesting tensions between the desire to work with a Microsoft or a...

  37. What's it Like to be an AI Pioneer?

    In this week's episode, I review The Worlds I See by Fei-Fei Li - a delightful, creative, warm portrait of both the emergence of artificial intelligence from its intellectual winter, and Fei-Fei's own life story. I talk about creativity and science, and about using approaches from multiple...

  38. How Do I Evaluate an AI Tool In Healthcare?

    In this week's podcast episode - I summarize thinking and learning so far on how to evaluate an ai tool in the healthcare space. I talk about using AI to do things that AI does well and humans do poorly.

  39. How Do I Evaluate an LLM In Healthcare?

    In this week's Health Data Ethics podcast episode, I talk about healthcare-specific methods of evaluating LLM output - a recent paper on HumanELY, a web tool for evaluating LLM output across five separate axes, is a great lens for thinking about your ai tools. I also discuss a recent evaluation…

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  40. How Does Scientific Self-Governing Work?

    In this episode I review The Code Breaker, a biography of Jennifer Doudna by Walter Isaacson. I talk about previous moral panics about new technology (recombinant DNA!) and compare with artificial intelligence today.

  41. What Does A Biased AI Look Like, Anyway?

    In this episode of the Health Data Ethics podcast I dive into a recent paper in Lancet Digital Health about GPT-4 perpetuating racial and gender biases when asked to diagnose patients. After a victory lap, we settle in to talk about what this means for the use of LLMs as a diagnostic tool and…

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  42. How Do I Evaluate An AI Tool? - Part 1

    In this episode I begin laying out a framework for how to evaluate AI tools in the healthcare environment, starting with short vs long term impact, the value of a Super Bowl commercial, and figuring out tasks that AIs are good at.

  43. What's a Business Relationship Manager, and Why Does My Hospital Need One?

    in this episode I talk about my day job as an IT Business Relationship Manager, and give a hypothetical example of a project that benefits from having a person to speak both "clinician" and "IT" languages.

  44. Human vs. Digital Scribes, What's the Difference?

    I'm back with an episode in which I discuss patient attitudes towards human scribes, revisit some 2018 predictions about digital scribes, and make a new recommendation when your healthcare IT group pilots a new digital documentation tool: Publish about it!

  45. What is "Objective" Data?

    In this episode I talk about "objective" data and training AI from a patient perspective as well from a healthcare data perspective.

  46. Will More AI Erode Our Healthcare Skills?

    In my podcast episode this week I talk about a recent article on "skill rot", misattributed Cicero quotes, the total amount of skill being conserved, and more.

  47. What Do Humans Do Better Than AI?

    In this episode I get a little teary about the Mars Rover while talking through some thoughts on what AI does best and what humans do best.

  48. What's In The AI Bill of Rights?

    In this episode I give a brief overview of the blueprint of the AI Bill of Rights set out by the White House and the Office of Science and Technology. We'll be discussing each of these rights in greater detail in the coming episodes. Come along for the ride!

  49. How Do We Ensure Safe And Effective AI Systems In Healthcare?

    I continue discussing the blueprint for an AI Bill of Rights in this episode centered on safe and effective artificial intelligence in healthcare. I'll discuss a sepsis predictor that did not work as intended, and suggest some specific ways health systems can implement the guidance suggested by...

  50. How Can I Be Protected From Algorithmic Discrimination?

    In this episode I reveal the deeply nerdy conversations about avoiding bias that I have with my HR software developer husband, and give examples of ways that healthcare data endpoint selection has unforeseen outcomes.

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ABOUT THIS SHOW

Health tech conversations, from a healthcare IT professional. We're going to talk about medical innovation, technology, and the ethical and operational considerations for health systems. In other words: it's gonna get super nerdy, super fast!

HOSTED BY

Jennifer Owens

Frequently Asked Questions

How many episodes does Health Data Ethics have?

Health Data Ethics currently has 50 episodes available on PodParley. New episodes are automatically indexed when they're published to the podcast feed.

What is Health Data Ethics about?

Health tech conversations, from a healthcare IT professional. We're going to talk about medical innovation, technology, and the ethical and operational considerations for health systems. In other words: it's gonna get super nerdy, super fast!

How often does Health Data Ethics release new episodes?

Health Data Ethics has 50 episodes. Check the episode list to see recent publication dates and frequency.

Where can I listen to Health Data Ethics?

You can listen to Health Data Ethics on PodParley by clicking any episode. We provide an embedded audio player for direct listening, and you can also subscribe via your preferred podcast app using the RSS feed.

Who hosts Health Data Ethics?

Health Data Ethics is created and hosted by Jennifer Owens.
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