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How Stanford patients help expose ‘fault lines’ in health AI adoption
- Stanford Health Care uses patient panels to guide AI tool adoption before rollout.
- Panels include patients like Eric Gries who managed care during heart transplants.
- The effort seeks to expose fault lines in AI adoption in health care.
- STAT reports the initiative as part of Stanford Health Care’s broader AI work.
- The panels aim to balance innovation with patient safety and preferences.
- The reporting author is Brittany Trang, who covers AI in health and medicine.
- The patient-panel model is positioned as a window into patient priorities.
- The initiative reflects Stanford’s long history of tech innovation in health care.
- The article notes the effort is partially driven by patient and caregiver experiences.
- The reporting outlet positions the story as a STAT+ exclusive with broader implications.
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