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

mHealth in a Clinical Setting (624) mHealth for Diagnosis (63) Usability of Apps and User Perceptions of mHealth (993) Clinical Information and Decision Making (1434) mHealth for Screening (221)

Published on in Vol 10, No 9 (2022): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38364, first published .
Evaluation of Diagnostic and Triage Accuracy and Usability of a Symptom Checker in an Emergency Department: Observational Study

Evaluation of Diagnostic and Triage Accuracy and Usability of a Symptom Checker in an Emergency Department: Observational Study

Evaluation of Diagnostic and Triage Accuracy and Usability of a Symptom Checker in an Emergency Department: Observational Study

Authors of this article:

Hamish S F Fraser1, 2 Author Orcid Image ;   Gregory Cohan3 Author Orcid Image ;   Christopher Koehler4 Author Orcid Image ;   Jared Anderson4 Author Orcid Image ;   Alexis Lawrence5 Author Orcid Image ;   John Pateña6 Author Orcid Image ;   Ian Bacher1 Author Orcid Image ;   Megan L Ranney2, 4, 6 Author Orcid Image
Article Authors Cited by (9) Tweetations (3) Metrics

Journals

  1. Fraser H, Crossland D, Bacher I, Ranney M, Madsen T, Hilliard R. Comparison of Diagnostic and Triage Accuracy of Ada Health and WebMD Symptom Checkers, ChatGPT, and Physicians for Patients in an Emergency Department: Clinical Data Analysis Study. JMIR mHealth and uHealth 2023;11:e49995 View
  2. Määttä J, Lindell R, Hayward N, Martikainen S, Honkanen K, Inkala M, Hirvonen P, Martikainen T. Diagnostic Performance, Triage Safety, and Usability of a Clinical Decision Support System Within a University Hospital Emergency Department: Algorithm Performance and Usability Study. JMIR Medical Informatics 2023;11:e46760 View
  3. Bushuven S, Bentele M, Bentele S, Gerber B, Bansbach J, Ganter J, Trifunovic-Koenig M, Ranisch R. “ChatGPT, Can You Help Me Save My Child’s Life?” - Diagnostic Accuracy and Supportive Capabilities to Lay Rescuers by ChatGPT in Prehospital Basic Life Support and Paediatric Advanced Life Support Cases – An In-silico Analysis. Journal of Medical Systems 2023;47(1) View
  4. Müller R, Klemmt M, Koch R, Ehni H, Henking T, Langmann E, Wiesing U, Ranisch R. “That’s just Future Medicine” - a qualitative study on users’ experiences of symptom checker apps. BMC Medical Ethics 2024;25(1) View
  5. Avnat E, Samin M, Ben Joya D, Schneider E, Yanko E, Eshel D, Ovadia S, Lev Y, Souroujon D. The Potential of Evidence-Based Clinical Intake Tools to Discover or Ground Prevalence of Symptoms Using Real-Life Digital Health Encounters: Retrospective Cohort Study. Journal of Medical Internet Research 2024;26:e49570 View
  6. Liu V, Koskela T, Kaila M. Triage Accuracy and the Safety of User-initiated Symptom Assessment with an Electronic Symptom Checker in a Real-life Setting: Comparison Study (Preprint). JMIR Human Factors 2023 View
  7. Kopka M, Feufel M. Software symptomcheckR: an R package for analyzing and visualizing symptom checker triage performance. BMC Digital Health 2024;2(1) View
  8. Lim S, Woon X, Goh E, Ng J, Ang S, Lim T, Allen P. Accuracy of Dental Symptom Checker Web Application in the Singapore Military Population. International Dental Journal 2024 View
  9. Wetzel A, Preiser C, Müller R, Joos S, Koch R, Henking T, Haumann H. Unveiling Usage Patterns and Explaining Usage of Symptom Checker Apps: Explorative Longitudinal Mixed Methods Study. Journal of Medical Internet Research 2024;26:e55161 View