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Despite abundant online health data, accessing clinical trials or personal health records remains difficult as a result of fragmented healthcare systems. Physicians continue to struggle with limited electronic health record options and one-size-fits-all hospital IT systems, relying on IT specialists and vendors for simple data access. Economic incentives, especially billing, shape how information is valued and used, stalling innovation.
In Rushing Headlong: Health IT's Legacy and The Road to Responsible AI, Dr. S. Yin Ho, MD, MBA, traces the journey from early health IT hopes to the rise of generative AI in medicine. Blending personal stories with deep industry experience, she shows how both public and private leaders have missed chances to fix disjointed systems. Candid about the harm done by regulatory and financial incentives and obstacles, Dr. Ho explains how generative AI could finally unlock real progress, if all healthcare stakeholders act with intention, collaboration and courage.
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