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

Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (542) Electronic Health Records (966) Clinical Information and Decision Making (1328) Natural Language Processing (644) Standards and Interoperability (61)

Published on in Vol 23, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26770, first published .
Analyzing Patient Secure Messages Using a Fast Health Care Interoperability Resources (FIHR)–Based Data Model: Development and Topic Modeling Study

Analyzing Patient Secure Messages Using a Fast Health Care Interoperability Resources (FIHR)–Based Data Model: Development and Topic Modeling Study

Analyzing Patient Secure Messages Using a Fast Health Care Interoperability Resources (FIHR)–Based Data Model: Development and Topic Modeling Study

Authors of this article:

Amrita De1 Author Orcid Image ;   Ming Huang1 Author Orcid Image ;   Tinghao Feng2 Author Orcid Image ;   Xiaomeng Yue3 Author Orcid Image ;   Lixia Yao1 Author Orcid Image
Article Authors Cited by (11) Tweetations (4) Metrics

Amrita De   1 * , MA ;   Ming Huang   1 * , PhD ;   Tinghao Feng   2 , MSc ;   Xiaomeng Yue   3 , PhD ;   Lixia Yao   1 , PhD

1 Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, MN, United States

2 Department of Computer Science, University of North Carolina at Charlotte, Charlotte, NC, United States

3 Division of Pharmacy Practice and Administrative Sciences, James L. Winkle College of Pharmacy, University of Cincinnati, Cincinnati, OH, United States

*these authors contributed equally

Corresponding Author:

  • Lixia Yao, PhD
  • Department of Artificial Intelligence and Informatics
  • Mayo Clinic
  • 200 1st St SW
  • Rochester, MN
  • United States
  • Phone: 1 5072842511
  • Email: lixia.cn.yao@gmail.com