Published on in Vol 27 (2025)

This is a member publication of Bibsam Consortium

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53741, first published .
Mapping and Summarizing the Research on AI Systems for Automating Medical History Taking and Triage: Scoping Review

Mapping and Summarizing the Research on AI Systems for Automating Medical History Taking and Triage: Scoping Review

Mapping and Summarizing the Research on AI Systems for Automating Medical History Taking and Triage: Scoping Review

Authors of this article:

Elin Siira1 Author Orcid Image ;   Hanna Johansson1 Author Orcid Image ;   Jens Nygren1 Author Orcid Image

Journals

  1. Lindner G, Ravioli S. Performance of the artificial intelligence-based Swiss medical assessment system versus Manchester triage system in the emergency department: A retrospective analysis. The American Journal of Emergency Medicine 2025;94:46 View
  2. Steerling E, Svedberg P, Nilsen P, Siira E, Nygren J. Influences on trust in the use of AI-based triage—an interview study with primary healthcare professionals and patients in Sweden. Frontiers in Digital Health 2025;7 View
  3. Larsson I, Siira E, Nygren J, Petersson L, Svedberg P, Nilsen P, Neher M. Integrating AI-based triage in primary care: a qualitative study of Swedish healthcare professionals’ experiences applying normalization process theory. BMC Primary Care 2025;26(1) View
  4. Bartkowski J, Zerdka J, Brasse P, Piszka M, Kwapien E, Staszkiewicz K, Kubicka M, Staszkiewicz K, Czarnecki F. Artificial Intelligence in Medicine With Emphasis on Orthopedic Practice. Cureus 2025 View
  5. Wasserman G, Grinberg N, Peleg O, Shuster A, Ianculovici C, Hurvitz A, Kleinman S. Secretary or SecretarAI: Assessing the Triage Performance of AI Versus Human Staff in a Specialized Dental Clinic. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology 2025 View