0925 Эпизод 35 EP

How do health systems decide which AI to buy, and what happens to patient data once it leaves the hospital? Paul Uhrig, a healthcare lawyer and former Chief Legal and Digital Health Officer at Bassett Healthcare Network, and Eddie Qureshi, founder and CEO of Rainfall Health, answer from the health system side and the vendor side. Uhrig lists the questions executives ask before they commit: what problem the AI solves, how the improvement will be measured, what change management it needs, and what happens after the pilot. He explains why so many successful pilots never reach scale. Qureshi describes building an AI company around one Medicare model, why only two or three priorities ever reach a C-suite agenda, and why he offers health systems an arrangement where they do not pay unless the AI delivers value. Then the patient side. Patients now connect their medical records to ChatGPT and Claude and arrive with questions, and sometimes with a proposed plan of care. Uhrig explains why that information falls outside HIPAA once a patient puts it into a consumer app, why the consent screens nobody reads matter, and who should be educating patients. Qureshi explains what the 30 days after surgery look like when an AI care coordinator answers the first call in the patient's own language, and Uhrig explains why ambient listening was the AI tool clinicians adopted fastest. In this conversation: What hospital executives ask before they buy AI Why AI pilots fail to scale, and how to plan for it from the first meeting Patients bringing ChatGPT and Claude into the exam room Why health data in consumer AI tools sits outside HIPAA The 30 days after surgery and Medicare's TEAM model Why ambient listening stuck with clinicians Paul Uhrig is a healthcare lawyer and digital health executive. He was the first Chief Legal Officer of Bassett Healthcare Network, a rural health system in upstate New York, where he became Chief Legal and Digital Health Officer. Before that he spent 14 years at Surescripts as Chief Administrative, Legal and Privacy Officer, after serving as its outside general counsel from its founding, and was earlier a partner at Akin Gump. He is founder of Uhrig Health Advisory and Senior Strategic Advisor to the Healthcare Trust Institute, and serves on Rainfall Health's advisory committee.   / pauluhrig   Eddie Qureshi is founder and CEO of Rainfall Health, an AI platform that helps hospitals manage Medicare's TEAM model, including care coordination across the 30 days after surgery. He started the company as a University of Washington undergraduate; it launched as Valorant Health with a focus on rural access and rebranded as Rainfall in 2024. He was named to the Forbes 30 Under 30 Social Impact list in 2023.   / ahmed-eddie-qureshi   Hey, I have a newsletter on Substack and you can read the seven key takeaways for this episode and all of them. If you like our content, or if you want to get in contact with me, subscribe. CHAPTERS 00:00 The consent form nobody reads 00:30 Meet Paul Uhrig and Eddie Qureshi 02:04 AI, bad actors and the threat closer to home 04:13 Healthcare cybersecurity and the 100% landing rule 07:14 What hospital executives ask before they buy AI 09:02 Why AI pilots fail to scale 10:04 How is the data used? Security and model training 10:31 Pitch versus pain point 11:41 Rainfall Health and Medicare episodes of care 13:15 Selling to a top-three priority 14:54 Is every health system the same? 16:16 Aligning incentives: no value, no payment 16:56 Patients bring ChatGPT and Claude to the exam room 20:19 Misinformation and patient data in consumer AI tools 21:47 Patients as consumers 23:30 HIPAA, the FTC and who educates patients 25:25 Simplifying consent, and who enforces it 26:56 The 30 days after surgery 28:53 An AI care coordinator that speaks 76 languages 31:21 85% of health systems use AI 32:03 Why ambient listening stuck with clinicians 35:43 What inspired their career paths 39:01 The hardest decision: betting on a Medicare model 40:55 Leading a health system through COVID #healthcareai #healthtech #hipaa #digitalhealth #healthcare