Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48145, first published .
OpenDeID Pipeline for Unstructured Electronic Health Record Text Notes Based on Rules and Transformers: Deidentification Algorithm Development and Validation Study

OpenDeID Pipeline for Unstructured Electronic Health Record Text Notes Based on Rules and Transformers: Deidentification Algorithm Development and Validation Study

OpenDeID Pipeline for Unstructured Electronic Health Record Text Notes Based on Rules and Transformers: Deidentification Algorithm Development and Validation Study

Jiaxing Liu   1 * , PhD ;   Shalini Gupta   2 * , MSc ;   Aipeng Chen   3 , MSc ;   Chen-Kai Wang   4 , MSc ;   Pratik Mishra   2 , MSc ;   Hong-Jie Dai   5 , PhD ;   Zoie Shui-Yee Wong   6, 7 * , PhD ;   Jitendra Jonnagaddala   8, 9 * , MD, MIS, PhD

1 School of Statistics and Mathematics, Zhongnan University of Economics and Law, Wuhan, China

2 CGD Health Pty Ltd, Canberra, Australia

3 School of Computer Science and Engineering, UNSW, Sydney, Australia

4 Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan

5 School of Post-Baccalaureate Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan

6 Graduate School of Public Health, St. Luke’s International University, Tokyo, Japan

7 The Kirby Institute, University of New South Wales, Sydney, Australia

8 School of Population Health, UNSW Sydney, Kensington, Australia

9 NMC Royal Hospital, Khalifa City, Abu Dhabi, United Arab Emirates

*these authors contributed equally

Corresponding Author:

  • Jitendra Jonnagaddala, MD, MIS, PhD
  • School of Population Health
  • UNSW Sydney
  • F25 Samuels Building
  • Samuel Terry Ave
  • Kensington, NSW, 2033
  • Australia
  • Phone: 61 (02) 9385 2517
  • Email: z3339253@unsw.edu.au