HeyJaredPractical AI in Healthcare
AI promises to transform healthcare—but real, scalable impact remains rare. Practical AI in Healthcare cuts through the noise to showcase real-world use cases delivering business value today.
- Indexed episodes, last 90 days
- 12
- Latest publication
- Sep 20, 2026
- Audience
- Checking…
- Earliest in this view
- Jul 5, 2026
Latest episodes
S2E3 - Randi Seigel & Jared Augenstein: Healthcare AI Law (opens the original)
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By Manatt’s count, more than 280 bills to regulate AI in healthcare were introduced in 2026, and almost none of the resulting law has been tested in court. Randi Seigel, a partner at Manatt who leads its health care regulatory practice, and Jared Augenstein, a senior managing director at Manatt Health, track every one of them. They join Steve Labkoff and Leon Rozenblit to map where the states are headed, explain why consent and disclosure rules often miss the mark, describe how regulation can pe
S2E2 - Greg Raiz: Data-Driven Early-Stage Investing (opens the original)
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Early-stage investing is one of the last places where big decisions get made on gut feel. Greg Raiz, co-founder and general partner of the pre-seed fund Founders Edge, is trying to change that with data: a survey of more than 3,000 entrepreneurs and a review of some 42 published studies on what predicts founder success. In a solo conversation with Leon Rozenblit, Greg explains why venture capital may be backing the wrong age group, why angel groups are structured to kill their best deals, who ac
S2E1 - Raihan Faroqui, MD: The Doctor at the Front Desk, AI on the Line (opens the original)
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Raihan Faroqui trained in internal medicine and then went to work on the front desk. As VP of partnerships at Confido Health, he puts AI agents on the phone lines of what he says are about 1,500 outpatient practice sites, handling appointments, refills, insurance checks, and billing questions in twenty languages. His framing is that healthcare never had a software problem so much as a system of record problem, and agents are the first tool that does not demand a migration. In this conversation,
S1, E50 - Jeremy Harper: The Broken Adoption Curve, Ambient Scribes Nobody Can Audit, and the Knowledge We Keep Paying For and Deleting (opens the original)
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Every technology healthcare has adopted moved through the same curve: a bleeding-edge few went first and documented what broke, and the majority followed. Large language models skipped that entirely. Jeremy Harper, a biomedical informatician who has worked at Epic, Ohio State, and Regenstrief, and who wrote Large Language Models (LLMs) for Healthcare , explains what we gave up by going all at once. Ambient scribes are everywhere, and because most vendors discard the audio as soon as they transcr
S1, E52 - Reflections #8: Year in Review (opens the original)
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Steve and Leon close Season 1 by looking back across all fifty-two episodes. They start with what surprised them (how fast conservative institutions adopted, and how slowly AI literacy is moving), then work through five conclusions a year of guests kept reaching independently: the models are no longer the hard part, almost nobody monitors these systems after deployment, an interface built for a novice can degrade an expert, "compared to what" is the question everyone skips, and money is usually
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