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

Opinion: Viewpoints, Columns, and Perspectives (28) Clinical Information and Decision Making (3458) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (2277) Decision Support for Health Professionals (2075) Methods and Instruments in Medical Informatics (388) Participatory Design and Participatory Research (505) Artificial Intelligence (4458) Co-Design & Participatory Design (287) Patient-Centred Outcomes Research (45) Participatory Artificial Intelligence for Health (13)

Published on in Vol 18 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/92721, first published .
Elderly woman in wheelchair listens to male doctor wearing mask

Participatory Digital Twins for Chronic Care: From Predictive Models to Shared Sensemaking

Participatory Digital Twins for Chronic Care: From Predictive Models to Shared Sensemaking

Authors of this article:

Qingrui Li1 Author Orcid Image ;   Bo Xie2, 3 Author Orcid Image ;   Eric L Johnson4 Author Orcid Image ;   Juan Li1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Qingrui Li   1 , MSc ;   Bo Xie   2, 3 , PhD ;   Eric L Johnson   4 , MD ;   Juan Li   1 , PhD

1 Computer Science Department, North Dakota State University, Fargo, ND, United States

2 School of Nursing, The University of Texas at Austin, Austin, TX, United States

3 School of Information, The University of Texas at Austin, Austin, TX, United States

4 Department of Family and Community Medicine, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, ND, United States

Corresponding Author:

  • Juan Li, PhD
  • Computer Science Department
  • North Dakota State University
  • 1320 Albrecht Boulevard
  • Fargo, ND 58105
  • United States
  • Phone: 1 7012319662
  • Email: j.li@ndsu.edu