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

Viewpoints and Perspectives (484) Clinical Information and Decision Making (1328) Decision Support for Health Professionals (1137)

Published on in Vol 22, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18109, first published .
Improving the Primary Care Consultation for Diabetes and Depression Through Digital Medical Interview Assistant Systems: Narrative Review

Improving the Primary Care Consultation for Diabetes and Depression Through Digital Medical Interview Assistant Systems: Narrative Review

Improving the Primary Care Consultation for Diabetes and Depression Through Digital Medical Interview Assistant Systems: Narrative Review

Authors of this article:

Geronimo Jimenez1, 2 Author Orcid Image ;   Shilpa Tyagi3 Author Orcid Image ;   Tarig Osman1 Author Orcid Image ;   Pier Spinazze1 Author Orcid Image ;   Rianne van der Kleij2 Author Orcid Image ;   Niels H Chavannes2 Author Orcid Image ;   Josip Car1 Author Orcid Image
Article Authors Cited by (5) Tweetations (9) Metrics

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  2. Nilsson E, Sverker A, Bendtsen P, Eldh A. A Human, Organization, and Technology Perspective on Patients’ Experiences of a Chat-Based and Automated Medical History–Taking Service in Primary Health Care: Interview Study Among Primary Care Patients. Journal of Medical Internet Research 2021;23(10):e29868 View
  3. Sridhar G. Can the management of depression in type 2 diabetes be democratized?. World Journal of Diabetes 2022;13(3):203 View
  4. Nishida A, Ogawa O. The Effect of a Pre-consultation Tablet-Based Questionnaire on Changes in Consultation Time for First-Visit Patients With Diabetes: A Single-Case Design Preliminary Study. Cureus 2022 View
  5. Liu Q, Tian Y, Zhou T, Lyu K, Wang Z, Zheng Y, Liu Y, Ren J, Li J. An Explainable and Personalized Cognitive Reasoning Model Based on Knowledge Graph: Toward Decision Making for General Practice. IEEE Journal of Biomedical and Health Informatics 2023:1 View