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!
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 when something seems off, now and in the future.
A few other items from this week's episode:
End users need to know the difference between an AI that sounds confident and one whose reasoning can actually be trusted.
How do your users know your AI system's limits well enough to know when to push back, just like they would on a colleague?
How we can use our ongoing CME/CNE framework to do continued AI training, but only where it's most necessary.
16 Sept 2026
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 a striking convergence: Pope Leo XIV and economist Daron Acemoglu, from completely different traditions, reach the same conclusion. Ethics can't be a compliance checkbox at the end of AI development. It has to be built in from the start.
9 Sept 2026
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, can learn.
That's the gap Joint Commission and Coalition for Health AI are starting to close with their Responsible Use of AI in Healthcare guidance.
In this Health Data Ethics episode, I break down Element 5: voluntary, blinded reporting of AI safety events. What it means, how to use the structures you already have, and why the voluntary model supports more effective AI adoption in healthcare.
Reach and audience
Public platform figures. Ratings count people who left a rating, not total listeners.
Apple Podcasts (US)
5.0 / 5
1 ratings
Contact Health Data Ethics
Guest appearances
Books guests
Based on episode analysis; this does not confirm that the show is currently accepting guests.
Questions about Health Data Ethics
Who hosts Health Data Ethics?
Unknown host the show. Published by Jennifer Owens.
How often do new episodes come out?
The show publishes weekly, based on its RSS feed.
Does Health Data Ethics take guests?
Yes. Guests have been identified in episode analyses.
Host of Health Data Ethics?
Claim your podcast to manage its listing and keep your show details accurate.
Pod Engine is an independent podcast discovery and analytics service and is not affiliated with or endorsed by this podcast. Artwork and show content belong to their owners. Full legal notice.
Explore this show Podcast research with Pod Engine
