AI Chief: Treating Medical AI as New Is a ‘Real Danger’
Summary
Health system leaders said medical AI has decades of research behind it, even though recent advances have made large-scale deployment more practical. They urged health organizations to build reliable data systems, allow room for experimentation, and judge AI projects by their effects on patient outcomes.Key Facts
- Philip Payne, chief health AI officer at BJC HealthCare and WashU Medicine, said AI research dates back decades and should not be treated as new.
- Payne said computing power, data availability, and technical infrastructure have made it possible to deploy AI at scale.
- Rohit Chandra of Cleveland Clinic described current AI as an immature technology and said health systems need room to experiment, including with efforts that may fail.
- Bilal Muhsin of BD said medical AI needs reliable, continuous, real-time data to support predictive uses.
- Michelle Stansbury of Houston Methodist said continuous vital-sign monitoring has helped staff identify possible problems earlier and alert bedside nurses.
- Payne said BJC and WashU Medicine will not pursue an AI project without a clear way to measure its outcomes.
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