इस एपिसोड के बारे में
In their seventh Reflections episode, and their fifty-first overall, Steve and Leon look back across six conversations: Mika Newton on interoperability that finally started working, Peter Embi on monitoring clinical AI after deployment, Vimla Patel on how clinicians actually reason, Renee Deehan on an engine built so it can't hallucinate, Christine Dymek on AI literacy, and Jeremy Harper on an adoption curve that broke. They decide against forcing a single grand lesson and find three threads anyway: keeping a human in the loop as a deliberate design decision, the national clearinghouse for AI errors that still doesn't exist, and whether literacy is even the right word for what healthcare workers need.
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इस एपिसोड में
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पिछले एपिसोड्स खोजें
Practical AI in Healthcare के पिछले एपिसोड खोजें।
इस पॉडकास्ट के अन्य एपिसोड
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 lon…
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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 …
Chris Dymek came to healthcare informatics by way of philosophy, and she still thinks like a philosopher: the first question is what we actually mean. As Director of Digital Healthcare Research at AHRQ, she funded AI research, helped launch work on AI and patient safety, and wrote a request for inf…
अस्वीकरण: इस पृष्ठ पर एम्बेडेड पॉडकास्ट और कलाकृति Steven Labkoff, MD and Leon Rozenblit, JD, PhD से हैं, जो इसके मालिक की संपत्ति है और Listen Notes, Inc. से संबद्ध या समर्थित नहीं है।
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