Bridging the Health Data Divide
Name
Bridging the health.pdf
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407.78 KB
Format
Adobe PDF
Checksum (MD5)
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Author(s)
Marshall, Dominic C
Nair, Sunil S
Phillips, Colin T
Salciccioli, Justin D
Salgueiro, Francisco Muge
Stone, David J
Celi, Leo Anthony G.
Davidzon, Guido A.
Johnson, Alistair Edward William
Komorowski, Matthieu Jean Claude
Date Issued
December 2016
Journal
Journal of Medical Internet Research
Publisher
JMIR Publications
Citation
Celi, Leo Anthony, Guido Davidzon, Alistair EW Johnson, Matthieu Komorowski, Dominic C Marshall, et al. “Bridging the Health Data Divide.” Journal of Medical Internet Research 18, no. 12 (2016): e325.
Version
Final published version
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.
MIT Department
Massachusetts Institute of Technology. Institute for Medical Engineering & Science
MIT Critical Data (Laboratory)
Terms of Use
Creative Commons Attribution 2.0 License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.2196/jmir.6400
