Practical AI in Healthcare S1, E30 - Amy Price: Patient Advocacy, Participatory Medicine, and AI Governance
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Mar 29, 2026 Amy Price, brain injury survivor and participatory medicine researcher who leads the Journal of Participatory Medicine, discusses why patients should shape AI design. She recounts recovery, using tech as a cognitive prosthesis, and co-produced research with teens. She highlights training teams, practical AI use for personal health decisions, closing the patient AI literacy gap, and building inclusive AI governance.
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Bring Three Well Timed Questions To Appointments
- Do come to clinical appointments with a small set of well-timed questions and insist on answers; use internet and colleagues to prepare beforehand.
- Amy limited herself to three questions per visit and wouldn't let the appointment end until they were answered.
Knowledgeable Caring Human In The Loop
- A human-in-the-loop must be both knowledgeable and caring to make AI useful in healthcare; knowledge without care or care without knowledge fails.
- Labeling model errors as 'hallucinations' can shut down trust and productive conversation.
AI Mirrors Human Strengths And Biases
- AI is simultaneously powerful at aggregating human knowledge and equally prone to human biases and data errors.
- Amy was awed by AI's speed and cultural adaptability but shocked it reproduced the same biases present in its training data.