Flipping the Clinic to Align AI and Medicine | Isaac Kohane | TEDxBoston

There are misalignments in the structure of healthcare that will worsen with the implementation of AI if we do not flip the clinic. Computational Nerd with clinical training.
Dr. Kohane is an Assistant Professor in Pediatrics, Harvard Medical School, and an Associate in Medicine in the Division of Pediatric Endocrinology at Children's Hospital in Boston. He is also a Research Affiliate at the MIT Laboratory for Computer Science and a founding member of the Dana Farber Cancer Institute Center for Outcomes and Policy Research. He received a ScB with Honors in Biology at Brown University. He pursued research in knowledge-based systems at the Clinical Decision-Making Group, MIT Laboratory for Computer Science, under the auspices of the Boston University MD, PhD program, and he received both degrees. He completed a residency in Pediatrics at Children's Hospital in Boston followed by a fellowship in Pediatric Endocrinology. He became director of the Children's Hospital Informatics Program (CHIP) in 1995. In 1991, Dr. Kohane completed implementation of the Clinician's Workstation (CWS) at Children's Hospital, which has been in operation since then in several specialty clinics. The CWS has been successfully used for several clinical research projects in addition to its primary role as a pediatric record system. Dr. Kohane was chief architect of the World Wide Web Electronic Medical Record System (W3-EMRS), which has been the foundation of several multi-institutional implementations and collaborations. He was instrumental in organizing a collaboration among several Boston teaching hospitals, the Boston EMR Collaborative, which has led to the identification of several significant problems in multi-institutional data sharing as well as the articulation of a model confidentiality policy. Other contributions in medical informatics include research into temporal reasoning and trend detection. Dr. Kohane has chaired the two most recent spring symposia on Artificial Intelligence in Medicine at Stanford University, sponsored by the American Association for Artificial Intelligence. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at www.ted.com/tedx

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  • @erdinn
    @erdinn7 ай бұрын

    Great talk. Great book, too!

  • @bibiancheng
    @bibiancheng5 ай бұрын

    I think patient should own his or her data, and be able to provide their data for AI machine, for better diagnosis in the future. I don't think my current doctor utilize my data well.

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