AI is poised to revolutionize medicine—but only if we avoid repeating past mistakes, Harvard Business Review reports.
That’s according to author and Stanford health leader Lloyd B. Minor.
Minor advises how artificial intelligence could help clinicians deliver faster, more precise, and personalized care, but warns that without reform, AI risks becoming another Electronic Health Records-style burden: full of promise but bogged down by bureaucracy, inefficiencies and burnout.
Minor says incentives should be aligned with long-term health outcomes and that AI training should be embedded into medical education, including doctors and patients in AI development from day one.
AI has already begun transforming drug discovery and diagnosis—but to bring those breakthroughs to the bedside, the system must adapt, he advises. From updating billing codes to embracing value-based care and modernizing regulatory oversight, the U.S. health care system must evolve to meet AI’s potential.
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