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Accepted for/Published in: JMIR Medical Informatics

Date Submitted: Jan 22, 2017
Open Peer Review Period: Jan 22, 2017 - Jul 12, 2017
Date Accepted: Sep 20, 2017
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

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

Li P, Xie C, Pollard T, Johnson AEW, Cao D, Kang H, Liang H, Zhang Y, Liu X, Fan Y, Zhang Y, Xue W, Xie L, Celi LA, Zhang Z

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

JMIR Med Inform 2017;5(4):e43

DOI: 10.2196/medinform.7380

PMID: 29138126

PMCID: 5705855

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

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

  • 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

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).


 Citation

Please cite as:

Li P, Xie C, Pollard T, Johnson AEW, Cao D, Kang H, Liang H, Zhang Y, Liu X, Fan Y, Zhang Y, Xue W, Xie L, Celi LA, Zhang Z

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

JMIR Med Inform 2017;5(4):e43

DOI: 10.2196/medinform.7380

PMID: 29138126

PMCID: 5705855

Per the author's request the PDF is not available.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.