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

Clinical Informatics (650) Electronic Health Records (838) Ontologies, Classifications, and Coding (172)

Published on in Vol 22 , No 11 (2020) :November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20050, first published .
An Environmental Scan of Sex and Gender in Electronic Health Records: Analysis of Public Information Sources

An Environmental Scan of Sex and Gender in Electronic Health Records: Analysis of Public Information Sources

An Environmental Scan of Sex and Gender in Electronic Health Records: Analysis of Public Information Sources

Authors of this article:

Francis Lau 1 Author Orcid Image ;   Marcy Antonio 1 Author Orcid Image ;   Kelly Davison 1 Author Orcid Image ;   Roz Queen 1 Author Orcid Image ;   Katie Bryski 2 Author Orcid Image
Article Authors Cited by (9) Tweetations (10) Metrics

Francis Lau   1 * , PhD ;   Marcy Antonio   1 * , BSc, MPH ;   Kelly Davison   1 * , MSc, MN ;   Roz Queen   1 * , BA ;   Katie Bryski   2 , BA

1 School of Health Information Science, University of Victoria, Victoria, BC, Canada

2 Canada Health Infoway, Toronto, ON, Canada

*these authors contributed equally

Corresponding Author:

  • Francis Lau, PhD
  • School of Health Information Science
  • University of Victoria
  • P.O. Box 1700 STN CSC
  • University of Victoria
  • Victoria, BC, V8W2Y2
  • Canada
  • Phone: 1 2504725131
  • Email: fylau@uvic.ca