Published on in Vol 7, No 3 (2019): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13331, first published .
Improving the Efficacy of the Data Entry Process for Clinical Research With a Natural Language Processing–Driven Medical Information Extraction System: Quantitative Field Research

Improving the Efficacy of the Data Entry Process for Clinical Research With a Natural Language Processing–Driven Medical Information Extraction System: Quantitative Field Research

Improving the Efficacy of the Data Entry Process for Clinical Research With a Natural Language Processing–Driven Medical Information Extraction System: Quantitative Field Research

Jiang Han   1, 2 * , MPH ;   Ken Chen   3 * , BS ;   Lei Fang   3 , MS ;   Shaodian Zhang   3, 4 , PhD ;   Fei Wang   3, 5 , PhD ;   Handong Ma   3, 6 , MS ;   Liebin Zhao   2, 7 , MS ;   Shijian Liu   1, 2 , PhD

1 Pediatric Translational Medicine Institute, Shanghai Children’s Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China

2 School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China

3 Synyi Research, Shanghai, China

4 APEX Data and Knowledge Management Lab, Shanghai Jiao Tong University, Shanghai, China

5 Department of Healthcare Policy and Research, Weill Cornell Medicine, New York, NY, United States

6 Department of computer science, Shanghai Jiao Tong University, Shanghai, China

7 Child Health Advocacy Institute, Shanghai Children’s Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China

*these authors contributed equally

Corresponding Author:

  • Shijian Liu, PhD
  • Pediatric Translational Medicine Institute
  • Shanghai Children’s Medical Center
  • Shanghai Jiao Tong University School of Medicine
  • 1678 Dongfang Road, Pudong New Area
  • Shanghai
  • China
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