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

Machine Learning (1934) Artificial Intelligence (1966) Clinical Information and Decision Making (1789) Consumer & Patient Education and Shared-Decision Making (810) Machine Learning (1934)

Published on in Vol 8, No 9 (2020): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18930, first published .
Human- Versus Machine Learning–Based Triage Using Digitalized Patient Histories in Primary Care: Comparative Study

Human- Versus Machine Learning–Based Triage Using Digitalized Patient Histories in Primary Care: Comparative Study

Human- Versus Machine Learning–Based Triage Using Digitalized Patient Histories in Primary Care: Comparative Study

Authors of this article:

Artin Entezarjou1 Author Orcid Image ;   Anna-Karin Edstedt Bonamy2, 3 Author Orcid Image ;   Simon Benjaminsson4 Author Orcid Image ;   Pawel Herman5 Author Orcid Image ;   Patrik Midlöv1 Author Orcid Image
Article Authors Cited by (12) Tweetations (3) Metrics

Journals

  1. Delshad S, Dontaraju V, Chengat V. Artificial Intelligence-Based Application Provides Accurate Medical Triage Advice When Compared to Consensus Decisions of Healthcare Providers. Cureus 2021 View
  2. Ilicki J, Kakulapati V. Challenges in evaluating the accuracy of AI-containing digital triage systems: A systematic review. PLOS ONE 2022;17(12):e0279636 View
  3. Triep K, Leichtle A, Meister M, Fiedler G, Endrich O. Real-world Health Data and Precision for the Diagnosis of Acute Kidney Injury, Acute-on-Chronic Kidney Disease, and Chronic Kidney Disease: Observational Study. JMIR Medical Informatics 2022;10(1):e31356 View
  4. Darley S, Coulson T, Peek N, Moschogianis S, van der Veer S, Wong D, Brown B. Understanding How the Design and Implementation of Online Consultations Affect Primary Care Quality: Systematic Review of Evidence With Recommendations for Designers, Providers, and Researchers. Journal of Medical Internet Research 2022;24(10):e37436 View
  5. Wang J, Somani S, Chen J, Murray S, Sarkar U. Health Equity in Artificial Intelligence and Primary Care Research: Protocol for a Scoping Review. JMIR Research Protocols 2021;10(9):e27799 View
  6. Entezarjou A, Sjöbeck M, Midlöv P, Nymberg V, Vigren L, Labaf A, Jakobsson U, Calling S. Health care utilization following “digi-physical” assessment compared to physical assessment for infectious symptoms in primary care. BMC Primary Care 2022;23(1) View
  7. Lowe C, Sephton R, Marsh W, Morrissey D. Evaluation of a Musculoskeletal Digital Assessment Routing Tool (DART): Crossover Noninferiority Randomized Pilot Trial. JMIR Formative Research 2024;8:e56715 View
  8. Siira E, Johansson H, Nygren J. Mapping and Summarizing the Research on AI Systems for Automating Medical History Taking and Triage: Scoping Review. Journal of Medical Internet Research 2025;27:e53741 View
  9. Halwani M, Merdad G, Almasre M, Doman G, AlSharif S, Alshiakh S, Mahboob D, Halwani M, Faqerah N, Mosuily M. Predicting triage of pediatric patients in the emergency department using machine learning approach. International Journal of Emergency Medicine 2025;18(1) View
  10. Katonai G, Arvai N, Mesko B. AI and Primary Care: Scoping Review. Journal of Medical Internet Research 2025;27:e65950 View

Books/Policy Documents

  1. Trzcinski K, Asghar M, Phelan A, Servat A, Kanwal N, Ansari M, Fallon E. Proceedings of International Conference on Information Technology and Applications. View

Conference Proceedings

  1. Helgason M, Hlífarson K, Olsen B, Ellertsson S, Loftsson H, Ólafsson S. 2024 IEEE 12th International Conference on Healthcare Informatics (ICHI). The Development and Feasibility of a Triage System for Use in Primary Care i View