Pessoa:
Stone, David J

dc.date.accessioned2025-01-29T18:38:56Z
dc.date.available2025-01-29T18:38:56Z
dc.identifier.urihttps://bibliotecadigital.acervo.nic.br/handle/123456789/4053
dspace.entity.typePerson
person.familyNameStone
person.givenNameDavid J.
person.identifier.biographyDr. Stone is a graduate of Yale University (1974) and the NYU School of Medicine (1978). He trained in internal medicine and anesthesiology at the University of Virginia, in critical care medicine at the Massachusetts General Hospital, and is board-certified in all three specialties. His clinical experience includes two years of general internal medicine practice on Cape Cod with Falmouth Medical Associates. In 1986, he joined the University of Virginia faculty where he was an attending physician in both the surgical and medical intensive care units, participated in management of the operating rooms, and was a member of the liver transplant team as well as Director of the Division of Neurosurgical Anesthesiology. He became Professor of Anesthesiology and Neurological Surgery in 1998, and was Vice Chair for Education in the Anesthesiology department. He won departmental and medical school teaching awards and in 1998, received the second annual teaching prize awarded by the International Anesthesia Research Society. In 2001, he joined VISICU.com where he worked with physicians from Johns Hopkins to develop and implement a tele-ICU system that included a complete EMR, data analytic tools, and a variety of real time clinical decision support features for critical care medicine. VISICU was later purchased by Philips Healthcare where he continued to work in clinical strategy development until his departure from Philips in March, 2012. At the time of his departure, the tele-ICU system was installed in almost 10% of U.S. adult ICU beds. He retired in 2022 as Visiting Professor of Anesthesiology and Neurological Surgery at UVa and is a member of the MIT Critical Data Group. He is currently collaborating on several projects related to clinical data systems in medicine, including artificial intelligence applications, and the development of a more completely data-driven and precision practice of critical care. (See selected publications and working papers)
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