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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.
Afiliação
  • Li P; Department of Biomedical Engineering, Chinese People's Liberation Army General Hospital, Beijing, China.
  • Xie C; Laboratory of Computational Physiology, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States.
  • Pollard T; Laboratory of Computational Physiology, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States.
  • Johnson AEW; Laboratory of Computational Physiology, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States.
  • Cao D; Department of Biomedical Engineering, Chinese People's Liberation Army General Hospital, Beijing, China.
  • Kang H; Department of Critical Care Medicine, Chinese People's Liberation Army General Hospital, Beijing, China.
  • Liang H; Department of Biomedical Engineering, Chinese People's Liberation Army General Hospital, Beijing, China.
  • Zhang Y; Department of Biomedical Engineering, Chinese People's Liberation Army General Hospital, Beijing, China.
  • Liu X; School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
  • Fan Y; Chinese People's Liberation Army Medical School, Beijing, China.
  • Zhang Y; Chinese People's Liberation Army Medical School, Beijing, China.
  • Xue W; Department of Computer Application and Management, Chinese People's Liberation Army Medical School, Beijing, China.
  • Xie L; Department of Respiratory and Critical Care Medicine, Chinese People's Liberation Army General Hospital, Beijing, China.
  • Celi LA; Laboratory of Computational Physiology, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States.
  • Zhang Z; Department of Biomedical Engineering, Chinese People's Liberation Army General Hospital, Beijing, China.
JMIR Med Inform ; 5(4): e43, 2017 Nov 14.
Article em En | MEDLINE | ID: mdl-29138126
ABSTRACT
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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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Clinical_trials Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Clinical_trials Idioma: En Ano de publicação: 2017 Tipo de documento: Article