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

Information Models (28) Health Information Exchange (97) Health Services Research (482)

Published on in Vol 6, No 4 (2018): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12241, first published .
Identifying Patients Who Are Likely to Receive Most of Their Care From a Specific Health Care System: Demonstration via Secondary Analysis

Identifying Patients Who Are Likely to Receive Most of Their Care From a Specific Health Care System: Demonstration via Secondary Analysis

Identifying Patients Who Are Likely to Receive Most of Their Care From a Specific Health Care System: Demonstration via Secondary Analysis

Authors of this article:

Gang Luo1 Author Orcid Image ;   Peter Tarczy-Hornoch1, 2, 3 Author Orcid Image ;   Adam B Wilcox1 Author Orcid Image ;   E Sally Lee4 Author Orcid Image
Article Authors Cited by (7) Tweetations (1) Metrics

Gang Luo   1 , PhD ;   Peter Tarczy-Hornoch   1, 2, 3 , MD ;   Adam B Wilcox   1 , PhD ;   E Sally Lee   4 , PhD

1 Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, United States

2 Division of Neonatology, Department of Pediatrics, University of Washington, Seattle, WA, United States

3 Department of Computer Science and Engineering, University of Washington, Seattle, WA, United States

4 Population Health Analytics, University of Washington Medicine Finance, University of Washington, Seattle, WA, United States

Corresponding Author:

  • Gang Luo, PhD
  • Department of Biomedical Informatics and Medical Education
  • University of Washington
  • University of Washington Medicine South Lake Union, 850 Republican Street, Building C
  • Box 358047
  • Seattle, WA, 98195
  • United States
  • Phone: 1 206 221 4596
  • Fax: 1 206 221 2671
  • Email: gangluo@cs.wisc.edu