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

mHealth for Telemedicine and Homecare (418) mHealth for Wellness, Behavior Change and Prevention (2922) Design and Formative Evaluation of Mobile Apps (706) mHealth for Health Administration (150) mHealth in a Clinical Setting (624)
Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32340, first published .
Safety of Triage Self-assessment Using a Symptom Assessment App for Walk-in Patients in the Emergency Care Setting: Observational Prospective Cross-sectional Study

Safety of Triage Self-assessment Using a Symptom Assessment App for Walk-in Patients in the Emergency Care Setting: Observational Prospective Cross-sectional Study

Safety of Triage Self-assessment Using a Symptom Assessment App for Walk-in Patients in the Emergency Care Setting: Observational Prospective Cross-sectional Study

Authors of this article:

Fabienne Cotte1, 2, 3 Author Orcid Image ;   Tobias Mueller4 Author Orcid Image ;   Stephen Gilbert3, 5 Author Orcid Image ;   Bibiana Blümke3 Author Orcid Image ;   Jan Multmeier3 Author Orcid Image ;   Martin Christian Hirsch3, 6 Author Orcid Image ;   Paul Wicks3 Author Orcid Image ;   Joseph Wolanski3 Author Orcid Image ;   Darja Tutschkow7 Author Orcid Image ;   Carmen Schade Brittinger7 Author Orcid Image ;   Lars Timmermann8 Author Orcid Image ;   Andreas Jerrentrup2 Author Orcid Image
Article Authors Cited by (17) Tweetations (2) Metrics

Journals

  1. Fraser H, Cohan G, Koehler C, Anderson J, Lawrence A, Pateña J, Bacher I, Ranney M. Evaluation of Diagnostic and Triage Accuracy and Usability of a Symptom Checker in an Emergency Department: Observational Study. JMIR mHealth and uHealth 2022;10(9):e38364 View
  2. Schmude M, Salim N, Azadzoy H, Bane M, Millen E, O’Donnell L, Bode P, Türk E, Vaidya R, Gilbert S. Investigating the Potential for Clinical Decision Support in Sub-Saharan Africa With AFYA (Artificial Intelligence-Based Assessment of Health Symptoms in Tanzania): Protocol for a Prospective, Observational Pilot Study. JMIR Research Protocols 2022;11(6):e34298 View
  3. 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
  4. 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
  5. North F, Garrison G, Jensen T, Pecina J, Stroebel R. Hospitalization Risk Associated With Emergency Department Reasons for Visit and Patient Age: A Retrospective Evaluation of National Emergency Department Survey Data to Help Identify Potentially Avoidable Emergency Department Visits. Health Services Research and Managerial Epidemiology 2023;10 View
  6. Welzel C, Cotte F, Wekenborg M, Vasey B, McCulloch P, Gilbert S. Holistic Human-Serving Digitization of Health Care Needs Integrated Automated System-Level Assessment Tools. Journal of Medical Internet Research 2023;25:e50158 View
  7. Sellin J, Pantel J, Börsch N, Conrad R, Mücke M. Kurze Wege zur Diagnose mit künstlicher Intelligenz – systematische Literaturrecherche zu „diagnostic decision support systems“. Der Schmerz 2024;38(1):19 View
  8. Augusto Duenhas Accorsi T, Tocci Moreira F, Aires Eduardo A, Albaladejo Morbeck R, Francine Köhler K, De Amicis Lima K, Henrique Sartorato Pedrotti C. Outcome After Self-Triage App Referral in Urgent Direct-to-Consumer Telemedicine Encounter. Telemedicine and e-Health 2024;30(8):2142 View
  9. Meer A, Rahm P, Schwendinger M, Vock M, Grunder B, Demurtas J, Rutishauser J. A Symptom-Checker for Adult Patients Visiting an Interdisciplinary Emergency Care Center and the Safety of Patient Self-Triage: Real-Life Prospective Evaluation. Journal of Medical Internet Research 2024;26:e58157 View
  10. Knitza J, Hasanaj R, Beyer J, Ganzer F, Slagman A, Bolanaki M, Napierala H, Schmieding M, Al-Zaher N, Orlemann T, Muehlensiepen F, Greenfield J, Vuillerme N, Kuhn S, Schett G, Achenbach S, Dechant K. Comparison of Two Symptom Checkers (Ada and Symptoma) in the Emergency Department: Randomized, Crossover, Head-to-Head, Double-Blinded Study. Journal of Medical Internet Research 2024;26:e56514 View
  11. Liu V, Kaila M, Koskela T. Triage Accuracy and the Safety of User-Initiated Symptom Assessment With an Electronic Symptom Checker in a Real-Life Setting: Instrument Validation Study. JMIR Human Factors 2024;11:e55099 View
  12. 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
  13. Raff D, Stewart K, Yang M, Shang J, Cressman S, Tam R, Wong J, Tammemägi M, Ho K. Improving Triage Accuracy in Prehospital Emergency Telemedicine: Scoping Review of Machine Learning–Enhanced Approaches. Interactive Journal of Medical Research 2024;13:e56729 View
  14. Yi N, Baik D, Baek G. The effects of applying artificial intelligence to triage in the emergency department: A systematic review of prospective studies. Journal of Nursing Scholarship 2024 View
  15. Porto B. Improving triage performance in emergency departments using machine learning and natural language processing: a systematic review. BMC Emergency Medicine 2024;24(1) View

Books/Policy Documents

  1. Gilbert S. Digital Respiratory Healthcare. View