Bridging the Health Data Divide
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 disconne...
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Format: | Article |
Language: | en_US |
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JMIR Publications
2017
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Online Access: | http://hdl.handle.net/1721.1/108487 https://orcid.org/0000-0002-8735-3014 https://orcid.org/0000-0002-5676-7898 |
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author | 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 Pollard, Tom Joseph Raffa, Jesse D |
author2 | Massachusetts Institute of Technology. Institute for Medical Engineering & Science |
author_facet | Massachusetts Institute of Technology. Institute for Medical Engineering & Science 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 Pollard, Tom Joseph Raffa, Jesse D |
author_sort | Marshall, Dominic C |
collection | MIT |
description | 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. |
first_indexed | 2024-09-23T14:54:19Z |
format | Article |
id | mit-1721.1/108487 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T14:54:19Z |
publishDate | 2017 |
publisher | JMIR Publications |
record_format | dspace |
spelling | mit-1721.1/1084872022-09-29T11:23:01Z Bridging the Health Data Divide 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 Pollard, Tom Joseph Raffa, Jesse D Massachusetts Institute of Technology. Institute for Medical Engineering & Science MIT Critical Data (Laboratory) Celi, Leo Anthony G. Davidzon, Guido A. Johnson, Alistair Edward William Komorowski, Matthieu Jean Claude Pollard, Tom Joseph Raffa, Jesse D 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. National Institute for Biomedical Imaging and Bioengineering (U.S.) (R01 EB017205-01A1) 2017-04-28T14:30:00Z 2017-04-28T14:30:00Z 2016-12 2016-12 Article http://purl.org/eprint/type/JournalArticle 1438-8871 PMCID: 5209608 http://hdl.handle.net/1721.1/108487 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. 27998877 https://orcid.org/0000-0002-8735-3014 https://orcid.org/0000-0002-5676-7898 en_US http://dx.doi.org/10.2196/jmir.6400 Journal of Medical Internet Research Creative Commons Attribution 2.0 License http://www.creativecommons.org/licenses/by/2.0/ application/pdf JMIR Publications JMIR Publications |
spellingShingle | 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 Pollard, Tom Joseph Raffa, Jesse D Bridging the Health Data Divide |
title | Bridging the Health Data Divide |
title_full | Bridging the Health Data Divide |
title_fullStr | Bridging the Health Data Divide |
title_full_unstemmed | Bridging the Health Data Divide |
title_short | Bridging the Health Data Divide |
title_sort | bridging the health data divide |
url | http://hdl.handle.net/1721.1/108487 https://orcid.org/0000-0002-8735-3014 https://orcid.org/0000-0002-5676-7898 |
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