This paper is in the following e-collection/theme issue:

Clinical Informatics (1050) Epidemiology (162) Electronic Health Records (1071)

Published on in Vol 21, No 7 (2019): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13719, first published .
A Real-Time Early Warning System for Monitoring Inpatient Mortality Risk: Prospective Study Using Electronic Medical Record Data

A Real-Time Early Warning System for Monitoring Inpatient Mortality Risk: Prospective Study Using Electronic Medical Record Data

A Real-Time Early Warning System for Monitoring Inpatient Mortality Risk: Prospective Study Using Electronic Medical Record Data

Authors of this article:

Chengyin Ye1 Author Orcid Image ;   Oliver Wang2 Author Orcid Image ;   Modi Liu2 Author Orcid Image ;   Le Zheng3, 4 Author Orcid Image ;   Minjie Xia2 Author Orcid Image ;   Shiying Hao3, 4 Author Orcid Image ;   Bo Jin2 Author Orcid Image ;   Hua Jin2 Author Orcid Image ;   Chunqing Zhu2 Author Orcid Image ;   Chao Jung Huang5 Author Orcid Image ;   Peng Gao6, 7 Author Orcid Image ;   Gray Ellrodt8 Author Orcid Image ;   Denny Brennan9 Author Orcid Image ;   Frank Stearns2 Author Orcid Image ;   Karl G Sylvester7 Author Orcid Image ;   Eric Widen2 Author Orcid Image ;   Doff B McElhinney3, 4 Author Orcid Image ;   Xuefeng Ling4, 7 Author Orcid Image
Article Authors Cited by (42) Tweetations (13) Metrics

Chengyin Ye   1 * , PhD ;   Oliver Wang   2 * , BA ;   Modi Liu   2 , BS ;   Le Zheng   3, 4 , PhD ;   Minjie Xia   2 , BS ;   Shiying Hao   3, 4 , PhD ;   Bo Jin   2 , MS ;   Hua Jin   2 , MS ;   Chunqing Zhu   2 , MS ;   Chao Jung Huang   5 , PhD ;   Peng Gao   6, 7 , PhD ;   Gray Ellrodt   8 , MD ;   Denny Brennan   9 , MEd, MBA ;   Frank Stearns   2 , MHA ;   Karl G Sylvester   7 , MD ;   Eric Widen   2 , MHA ;   Doff B McElhinney   3, 4 , MD ;   Xuefeng Ling   4, 7 , PhD

1 Department of Health Management, Hangzhou Normal University, Hangzhou, China

2 HBI Solutions Inc, Palo Alto, CA, United States

3 Department of Cardiothoracic Surgery, Stanford University, Stanford, CA, United States

4 Clinical and Translational Research Program, Betty Irene Moore Children's Heart Center, Lucile Packard Children’s Hospital, Palo Alto, CA, United States

5 National Taiwan University-Stanford Joint Program Office of AI in Biotechnology, Ministry of Science and Technology Joint Research Center for Artificial Intelligence Technology and All Vista Healthcare, Taipei, Taiwan

6 Shandong University of Traditional Chinese Medicine, Shandong, China

7 Department of Surgery, Stanford University, Stanford, CA, United States

8 Department of Medicine, Berkshire Medical Center, Pittsfield, MA, United States

9 Massachusetts Health Data Consortium, Waltham, CA, United States

*these authors contributed equally

Corresponding Author:

  • Xuefeng Ling, PhD
  • Department of Surgery
  • Stanford University
  • S370 Grant Bldg, 300 Pasteur Drive
  • Stanford, CA, 94305
  • United States
  • Phone: 1 6504279198
  • Email: bxling@stanford.edu