Health Data Ethics
Claim This Podcastby Jennifer Owens
Podcast Overview
<p>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!</p>
Language
🇺🇲
Publishing Since
4/23/2023
1 verified contact email on file for Health Data Ethics
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Recent Episodes
May 29, 2026
Hiatus! Just for a bit.
<p>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!</p>
May 13, 2026
What does Privacy and Transparency Mean Anyway?
<p>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.</p><p></p><p>The guidance itself is reasonable. What I spent most of the episode on is how you actually implement it, because that's where things get interesting.</p><p></p><p>Adding AI language to the Notice of Privacy Practices is a good first step, and a lot of health systems are doing it. But I think the most-told lie in modern life is still "I have read and agreed to the terms and conditions." Broad disclosure is honest, and it matters, and it's also not going to carry the whole weight of a transparent relationship with your patients.</p><p></p><p>The piece I really wanted to dig into is opt-outs. If you offer patients the ability to opt out of something you can't actually turn off, you've built opt-out theater, and that erodes trust faster than just being honest about the limitation would. Ambulatory scribe is a real opt-out. Inpatient sepsis prediction is not technically feasible to opt out of, and we probably shouldn't pretend it is.</p><p></p><p>I also spend some time on the clinician side, which I think gets short shrift in a lot of these conversations. Operational training on a tool is not the same thing as understanding how the model behaves, where it fails, and which patients it might be wrong for. Clinicians are the ones carrying accountability for human-in-the-loop judgment, and they need real explainability to do that well.</p>
May 6, 2026
How Do You Get AI Policy Approved?
<p>Getting an AI policy approved in a large health system is a different skill than writing one.</p><p></p><p>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 you need, the scope battles you'll face, and why the approval process is won or lost long before the policy enters formal review.</p><p></p><p>The biggest takeaway: identify domains where your scope overlaps with someone else's, and get those leader in the room early before formal review even starts.</p>
63 total episodes available
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Brad Owens
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Sahar Hashmi
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Frequently asked questions
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- What is Health Data Ethics?
<p>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!</p> - How often does this podcast release new episodes?
This podcast updates weekly.
- Where can I listen to this podcast?
This podcast is available on 8 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
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