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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...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2017
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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). |
format | Online Article Text |
id | pubmed-5705855 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
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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