Bridging the Health Data Divide
File(s)
Author(s)
Type
Journal Article
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.
Date Issued
2016-12-20
Date Acceptance
2016-11-21
Citation
Journal of Medical Internet Research, 2016, 18 (12)
ISSN
1438-8871
Publisher
JMIR Publications
Journal / Book Title
Journal of Medical Internet Research
Volume
18
Issue
12
Copyright Statement
©Leo Anthony Celi, Guido Davidzon, Alistair EW Johnson, Matthieu Komorowski, Dominic C Marshall, Sunil S Nair, Colin T Phillips, Tom J Pollard, Jesse D Raffa, Justin D Salciccioli, Francisco Muge Salgueiro, David J Stone. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 20.12.2016.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
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Subjects
Science & Technology
Life Sciences & Biomedicine
Health Care Sciences & Services
Medical Informatics
electronic health records
machine learning
health care policy
medical education
collaboration
Publication Status
Published
Article Number
e325