Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49704, first published .
Evaluating Expert-Layperson Agreement in Identifying Jargon Terms in Electronic Health Record Notes: Observational Study

Evaluating Expert-Layperson Agreement in Identifying Jargon Terms in Electronic Health Record Notes: Observational Study

Evaluating Expert-Layperson Agreement in Identifying Jargon Terms in Electronic Health Record Notes: Observational Study

John P Lalor   1 , MSc, PhD ;   David A Levy   2 , MD, MPP ;   Harmon S Jordan   3 , MSc, ScD ;   Wen Hu   2, 4 , MS ;   Jenni Kim Smirnova   5 , MSc ;   Hong Yu   2, 4, 6 , MA, MS, PhD

1 Department of Information Technology, Analytics, and Operations, Mendoza College of Business, University of Notre Dame, Notre Dame, IN, United States

2 Center for Biomedical and Health Research in Data Sciences, Miner School of Computer and Information Sciences, University of Massachusetts Lowell, Lowell, MA, United States

3 Tufts University School of Medicine, Boston, MA, United States

4 Center for Healthcare Organization & Implementation Research, Veterans Affairs Bedford Healthcare System, Bedford, MA, United States

5 Precision for Medicine, Flemington, NJ, United States

6 Manning College of Information and Computer Sciences, University of Massachusetts Amherst, Amherst, MA, United States

Corresponding Author:

  • Hong Yu, MA, MS, PhD
  • Center for Biomedical and Health Research in Data Sciences
  • Miner School of Computer and Information Sciences
  • University of Massachusetts Lowell
  • 1 University Ave
  • Lowell, MA, 01854
  • United States
  • Phone: 1 978-934-3620
  • Email: Hong_Yu@uml.edu