title: Bridging the Health Data Divide.
abstract: Fundamental quality, safety, and cost problems have not been resolved by the increasing digitization of health care. This digitization has progressed alongside the presence of a persistent divide between clinicians, the domain experts, and the technical experts, such as data scientists. The disconnect between clinicians and data scientists translates into a waste of research and health care resources, slow uptake of innovations, and poorer outcomes than are desirable and achievable. The divide can be narrowed by creating a culture of collaboration between these two disciplines, exemplified by events such as datathons. However, in order to more fully and meaningfully bridge the divide, the infrastructure of medical education, publication, and funding processes must evolve to support and enhance a learning health care system.
authors.affiliation: MIT Critical Data, Cambridge, MA, United States.
authors.forename: Leo Anthony
authors.identifier: 0000-0001-6712-6626
authors.initials: LA
authors.lastname: Celi
authors.affiliation: MIT Critical Data, Cambridge, MA, United States.
authors.forename: Guido
authors.identifier: 0000-0001-5579-6825
authors.initials: G
authors.lastname: Davidzon
authors.affiliation: MIT Critical Data, Cambridge, MA, United States.
authors.forename: Alistair Ew
authors.identifier: 0000-0003-0140-0797
authors.initials: AE
authors.lastname: Johnson
authors.affiliation: MIT Critical Data, Cambridge, MA, United States.
authors.forename: Matthieu
authors.identifier: 0000-0003-0559-5747
authors.initials: M
authors.lastname: Komorowski
authors.affiliation: MIT Critical Data, Cambridge, MA, United States.
authors.forename: Dominic C
authors.identifier: 0000-0002-3498-2511
authors.initials: DC
authors.lastname: Marshall
authors.affiliation: MIT Critical Data, Cambridge, MA, United States.
authors.forename: Sunil S
authors.identifier: 0000-0002-4332-1221
authors.initials: SS
authors.lastname: Nair
authors.affiliation: MIT Critical Data, Cambridge, MA, United States.
authors.forename: Colin T
authors.identifier: 0000-0002-6543-0234
authors.initials: CT
authors.lastname: Phillips
authors.affiliation: MIT Critical Data, Cambridge, MA, United States.
authors.forename: Tom J
authors.identifier: 0000-0002-5676-7898
authors.initials: TJ
authors.lastname: Pollard
authors.affiliation: MIT Critical Data, Cambridge, MA, United States.
authors.forename: Jesse D
authors.identifier: 0000-0001-8665-2429
authors.initials: JD
authors.lastname: Raffa
authors.affiliation: MIT Critical Data, Cambridge, MA, United States.
authors.forename: Justin D
authors.identifier: 0000-0001-8092-0883
authors.initials: JD
authors.lastname: Salciccioli
authors.affiliation: MIT Critical Data, Cambridge, MA, United States.
authors.forename: Francisco Muge
authors.identifier: 0000-0003-2291-6434
authors.initials: FM
authors.lastname: Salgueiro
authors.affiliation: MIT Critical Data, Cambridge, MA, United States.
authors.forename: David J
authors.identifier: 0000-0003-4855-4283
authors.initials: DJ
authors.lastname: Stone
mesh_terms: D003695:Delivery of Health Care / Q000379:methods*; D004501:Education, Medical; D057286:Electronic Health Records; D006801:Humans; D000069550:Machine Learning
keywords: collaboration; electronic health records; health care policy; machine learning; medical education