Most medical technology remains “incomplete” or only “half-way” to its developers’ ultimate goals and greater automation is needed to complete these data-driven projects, surgeon Atul Gawande from Brigham and Women’s Hospital and Harvard Medical School in Boston argued during his keynote lecture at the Health Datapalooza IV conference June 3 in Washington, D.C.
Borrowing a classification scheme from the late Lewis Thomas, who served as dean of the medical schools at Yale and New York University, Gawande divides technology into three categories: “non-technology”; “incomplete” technology; and “complete” technology
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