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Promoting Secondary Analysis of Electronic Medical Records in China: Summary of the PLAGH-MIT Critical Data Conference and Health Datathon

Electronic health records (EHRs) have been widely adopted among modern hospitals to collect and track clinical data. Secondary analysis of EHRs could complement the traditional randomized control trial (RCT) research model. However, most researchers in China lack either the technical expertise or th...

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Detalles Bibliográficos
Autores principales: Li, Peiyao, Xie, Chen, Pollard, Tom, Johnson, Alistair Edward William, Cao, Desen, Kang, Hongjun, Liang, Hong, Zhang, Yuezhou, Liu, Xiaoli, Fan, Yong, Zhang, Yuan, Xue, Wanguo, Xie, Lixin, Celi, Leo Anthony, Zhang, Zhengbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5705855/
https://www.ncbi.nlm.nih.gov/pubmed/29138126
http://dx.doi.org/10.2196/medinform.7380
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author Li, Peiyao
Xie, Chen
Pollard, Tom
Johnson, Alistair Edward William
Cao, Desen
Kang, Hongjun
Liang, Hong
Zhang, Yuezhou
Liu, Xiaoli
Fan, Yong
Zhang, Yuan
Xue, Wanguo
Xie, Lixin
Celi, Leo Anthony
Zhang, Zhengbo
author_facet Li, Peiyao
Xie, Chen
Pollard, Tom
Johnson, Alistair Edward William
Cao, Desen
Kang, Hongjun
Liang, Hong
Zhang, Yuezhou
Liu, Xiaoli
Fan, Yong
Zhang, Yuan
Xue, Wanguo
Xie, Lixin
Celi, Leo Anthony
Zhang, Zhengbo
author_sort Li, Peiyao
collection PubMed
description Electronic health records (EHRs) have been widely adopted among modern hospitals to collect and track clinical data. Secondary analysis of EHRs could complement the traditional randomized control trial (RCT) research model. However, most researchers in China lack either the technical expertise or the resources needed to utilize EHRs as a resource. In addition, a climate of cross-disciplinary collaboration to gain insights from EHRs, a crucial component of a learning healthcare system, is not prevalent. To address these issues, members from the Massachusetts Institute of Technology (MIT) and the People’s Liberation Army General Hospital (PLAGH) organized the first clinical data conference and health datathon in China, which provided a platform for clinicians, statisticians, and data scientists to team up and address information gaps in the intensive care unit (ICU).
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spelling pubmed-57058552017-12-11 Promoting Secondary Analysis of Electronic Medical Records in China: Summary of the PLAGH-MIT Critical Data Conference and Health Datathon Li, Peiyao Xie, Chen Pollard, Tom Johnson, Alistair Edward William Cao, Desen Kang, Hongjun Liang, Hong Zhang, Yuezhou Liu, Xiaoli Fan, Yong Zhang, Yuan Xue, Wanguo Xie, Lixin Celi, Leo Anthony Zhang, Zhengbo JMIR Med Inform Viewpoint Electronic health records (EHRs) have been widely adopted among modern hospitals to collect and track clinical data. Secondary analysis of EHRs could complement the traditional randomized control trial (RCT) research model. However, most researchers in China lack either the technical expertise or the resources needed to utilize EHRs as a resource. In addition, a climate of cross-disciplinary collaboration to gain insights from EHRs, a crucial component of a learning healthcare system, is not prevalent. To address these issues, members from the Massachusetts Institute of Technology (MIT) and the People’s Liberation Army General Hospital (PLAGH) organized the first clinical data conference and health datathon in China, which provided a platform for clinicians, statisticians, and data scientists to team up and address information gaps in the intensive care unit (ICU). JMIR Publications 2017-11-14 /pmc/articles/PMC5705855/ /pubmed/29138126 http://dx.doi.org/10.2196/medinform.7380 Text en ©Peiyao Li, Chen Xie, Tom Pollard, Alistair Edward William Johnson, Desen Cao, Hongjun Kang, Hong Liang, Yuezhou Zhang, Xiaoli Liu, Yong Fan, Yuan Zhang, Wanguo Xue, Lixin Xie, Leo Anthony Celi, Zhengbo Zhang. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 14.11.2017. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on http://medinform.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Viewpoint
Li, Peiyao
Xie, Chen
Pollard, Tom
Johnson, Alistair Edward William
Cao, Desen
Kang, Hongjun
Liang, Hong
Zhang, Yuezhou
Liu, Xiaoli
Fan, Yong
Zhang, Yuan
Xue, Wanguo
Xie, Lixin
Celi, Leo Anthony
Zhang, Zhengbo
Promoting Secondary Analysis of Electronic Medical Records in China: Summary of the PLAGH-MIT Critical Data Conference and Health Datathon
title Promoting Secondary Analysis of Electronic Medical Records in China: Summary of the PLAGH-MIT Critical Data Conference and Health Datathon
title_full Promoting Secondary Analysis of Electronic Medical Records in China: Summary of the PLAGH-MIT Critical Data Conference and Health Datathon
title_fullStr Promoting Secondary Analysis of Electronic Medical Records in China: Summary of the PLAGH-MIT Critical Data Conference and Health Datathon
title_full_unstemmed Promoting Secondary Analysis of Electronic Medical Records in China: Summary of the PLAGH-MIT Critical Data Conference and Health Datathon
title_short Promoting Secondary Analysis of Electronic Medical Records in China: Summary of the PLAGH-MIT Critical Data Conference and Health Datathon
title_sort promoting secondary analysis of electronic medical records in china: summary of the plagh-mit critical data conference and health datathon
topic Viewpoint
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5705855/
https://www.ncbi.nlm.nih.gov/pubmed/29138126
http://dx.doi.org/10.2196/medinform.7380
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