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AI in Healthcare: Why Hospitals Are Moving Cautiously Toward Consolidation
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AI in Healthcare: Why Hospitals Are Moving Cautiously Toward Consolidation

36 MIN · EN · STATUS: [ STREAMING ]
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STANFORD

Bob Wachter, Chair of Medicine at UCSF and author of The Digital Doctor, talks with Stanford researchers Matt Lungren and Justin Norden about how artificial intelligence is actually being adopted inside hospitals. Wachter contrasts the breakneck pace of big tech's model race with healthcare's slower, more cautious rollout, where Epic and the electronic health record still dominate clinical workflow. The conversation covers digital scribes that draft clinical notes, AI-assisted decision support, and consumer-facing health tools, with Wachter weighing in on trust, liability, and patient safety as adoption barriers. He argues consolidation around a few dominant platforms is likely, given how entrenched incumbents like Epic are, even as new AI tools push toward disruption. The discussion stays grounded in practical hospital operations rather than hype, with Wachter drawing on his own experience running a major academic medicine department to explain why change in healthcare moves slower than in other industries, and why it is coming regardless.

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Lecture facts

Runtime compared with the other 148 Computer Science lectures
Runtime36 m
Compared with Computer ScienceShorter than 80%
Source channelStanford Online (YouTube)