How AI & Wearables Are Shaping The Future of Healthcare with Dr. Ami Bhatt
Episode
34 min
Read time
2 min
Topics
Productivity, Health & Wellness, Relationships
AI-Generated Summary
Key Takeaways
- ✓FDA's New Approach: The FDA Digital Health Advisory Committee shifts from pure regulation to building infrastructure with guardrails. The focus is approve-and-monitor rather than approve-and-release, requiring post-implementation metric measurement as algorithms evolve. This allows faster access to digital health technologies while maintaining safety through continuous monitoring of real-world outcomes and performance data.
- ✓Wearables for Population Health: Achieving population health goals requires widespread wearable adoption because cardiometabolic risk factors drive longevity outcomes. The gap between medical remote monitoring and consumer wearables is closing through AI algorithms that integrate wearable data with electronic health records. FDA-cleared features like ECG monitoring enable care pathways that identify rising-risk patients in their communities before conditions worsen.
- ✓Patient Communication Strategy: When bringing wearable data to appointments, message clinicians beforehand with two focused concerns rather than overwhelming them with printouts. State what you have already tried and request time to discuss specific findings with the doctor or their team. This partnership approach recognizes time constraints in fee-for-service healthcare while demonstrating patient agency and preparation.
- ✓Human-AI Interaction Research: Studies show gastroenterologists who used AI to detect polyps during colonoscopies began missing polyps after AI removal within weeks, revealing deskilling risks. Research now focuses on determining when AI helps clinicians improve versus when it creates dependency or is unnecessary. The goal is matching AI assistance to clinician expertise levels and clinical contexts appropriately.
- ✓Startup Scaling Advice: Companies building AI health tools should go deep on one technology rather than attempting comprehensive platforms. Most successful digital health technologies get adopted into existing platforms rather than creating standalone user experiences. Early FDA engagement provides guidance on regulation, payment codes, clinical workflows, and market gaps beyond just approval decisions, improving chances of clinical adoption.
What It Covers
Dr. Ami Bhatt, FDA Digital Health Chair and American College of Cardiology Chief Innovation Officer, explains how the FDA is building infrastructure for AI healthcare tools, why wearables are essential for population health goals, and how the gap between consumer wellness technology and clinical medicine is closing through regulatory modernization and clinician education.
Key Questions Answered
- •FDA's New Approach: The FDA Digital Health Advisory Committee shifts from pure regulation to building infrastructure with guardrails. The focus is approve-and-monitor rather than approve-and-release, requiring post-implementation metric measurement as algorithms evolve. This allows faster access to digital health technologies while maintaining safety through continuous monitoring of real-world outcomes and performance data.
- •Wearables for Population Health: Achieving population health goals requires widespread wearable adoption because cardiometabolic risk factors drive longevity outcomes. The gap between medical remote monitoring and consumer wearables is closing through AI algorithms that integrate wearable data with electronic health records. FDA-cleared features like ECG monitoring enable care pathways that identify rising-risk patients in their communities before conditions worsen.
- •Patient Communication Strategy: When bringing wearable data to appointments, message clinicians beforehand with two focused concerns rather than overwhelming them with printouts. State what you have already tried and request time to discuss specific findings with the doctor or their team. This partnership approach recognizes time constraints in fee-for-service healthcare while demonstrating patient agency and preparation.
- •Human-AI Interaction Research: Studies show gastroenterologists who used AI to detect polyps during colonoscopies began missing polyps after AI removal within weeks, revealing deskilling risks. Research now focuses on determining when AI helps clinicians improve versus when it creates dependency or is unnecessary. The goal is matching AI assistance to clinician expertise levels and clinical contexts appropriately.
- •Startup Scaling Advice: Companies building AI health tools should go deep on one technology rather than attempting comprehensive platforms. Most successful digital health technologies get adopted into existing platforms rather than creating standalone user experiences. Early FDA engagement provides guidance on regulation, payment codes, clinical workflows, and market gaps beyond just approval decisions, improving chances of clinical adoption.
Notable Moment
A fifth-grader at Girls Inc initially appeared disengaged during a large language model presentation, chewing gum stuck in her hair. When the activity began creating dessert recipes using ChatGPT, she immediately took charge, gathering classmate input about allergies and preferences to generate multiple recipe versions in different languages and formats within fifteen minutes, demonstrating native fluency with AI tools.
Episode Transcript
This is not your grandmother's FDA, if you will. It has been progressively changing and understanding that digital health has changed things for us. Wearables are, in fact, the only way we are going to achieve population health goals. We can't achieve population health population health goals. We can't achieve population health without the use of wearables. How do you take that wearable daughter and make it relevant to your health care provider, right? And how does a health care provider understand that? The level of science that you create here at Blue, it's real science. It's not consumerism. It's patient agency. And it's really my job and my colleague's job to teach our clinicians that and to get them to accept that culture change. I want an infrastructure to enable this kind of care in the communities where people live using their data. How do I do it safely and with good guardrails? And that's kind of what we're about. Hi, everybody. I'm Emily Capitalupo, WOOP senior vice president of research algorithms and data. And today, I am joined by the incredible doctor Ami Bhatt. Thank you so much for having me. Thank you so much for being here. Doctor Bhatt is a cardiologist. She is the chief innovation officer at the American College of Cardiology as well as the chair of digital health at the FDA. Doctor. Bhatt has an incredibly interesting perspective because she sees cardiology both from a policy and regulatory side as well as previously being a practicing cardiologist, and so she blends both of those worlds in a really fascinating way, and I'm very excited to have her on the podcast today. So so I wanna start off because you are the very first chair of digital health at the FDA, so a new role Mhmm. Which is a really cool sign of the FDA being with the times and understanding that this AI revolution is coming and all of that. And so what is this new role? What is this new department, and what does it say about what the FDA is thinking about and doing? This is not your grandmother's FDA, if you will. It has been progressively changing and understanding that digital health has changed things for us. And looking at software as a medical device was the first time that the FDA really started to kind of speed up in a safe and efficient way the process of getting access to these types of technologies to our patients. And that's the most important part of this. Whether we're talking about diagnostic screening or understanding algorithms, there is so much we have to offer, and we really need a streamlined way to get there. And so it's before the digital health advisory committee, which is what I chair, even started that the FDA started becoming aware of the need for us to really modernize our approach. The digital health advisory committee itself, we are a group of individuals that are here …
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“When the activity began creating dessert recipes using ChatGPT, she immediately took charge, gathering classmate input about allergies and preferences to generate multiple recipe versions in different languages and formats within fifteen minutes.”
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