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

Symptom Checkers (23) Mobile Health (mhealth) (2365) Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (345) Consumer & Patient Education and Shared-Decision Making (572) Web-based and Mobile Health Interventions (2634) Evaluation and Research Methodology for mHealth (175) Clinical Information and Decision Making (1118) E-Health / Health Services Research and New Models of Care (318)
Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31810, first published .
Triage Accuracy of Symptom Checker Apps: 5-Year Follow-up Evaluation

Triage Accuracy of Symptom Checker Apps: 5-Year Follow-up Evaluation

Triage Accuracy of Symptom Checker Apps: 5-Year Follow-up Evaluation

Authors of this article:

Malte L Schmieding 1 Author Orcid Image ;   Marvin Kopka 1, 2 Author Orcid Image ;   Konrad Schmidt 3, 4 Author Orcid Image ;   Sven Schulz-Niethammer 5 Author Orcid Image ;   Felix Balzer 1 Author Orcid Image ;   Markus A Feufel 5 Author Orcid Image
Article Authors Cited by (25) Tweetations (8) Metrics

Journals

  1. Kopka M, Schmieding M, Rieger T, Roesler E, Balzer F, Feufel M. Determinants of Laypersons’ Trust in Medical Decision Aids: Randomized Controlled Trial. JMIR Human Factors 2022;9(2):e35219 View
  2. Kopka M, Feufel M, Balzer F, Schmieding M. The Triage Capability of Laypersons: Retrospective Exploratory Analysis. JMIR Formative Research 2022;6(10):e38977 View
  3. Hirosawa T, Harada Y, Yokose M, Sakamoto T, Kawamura R, Shimizu T. Diagnostic Accuracy of Differential-Diagnosis Lists Generated by Generative Pretrained Transformer 3 Chatbot for Clinical Vignettes with Common Chief Complaints: A Pilot Study. International Journal of Environmental Research and Public Health 2023;20(4):3378 View
  4. Nguyen H, Meczner A, Burslam-Dawe K, Hayhoe B. Triage Errors in Primary and Pre–Primary Care. Journal of Medical Internet Research 2022;24(6):e37209 View
  5. Napierala H, Kopka M, Altendorf M, Bolanaki M, Schmidt K, Piper S, Heintze C, Möckel M, Balzer F, Slagman A, Schmieding M. Examining the impact of a symptom assessment application on patient-physician interaction among self-referred walk-in patients in the emergency department (AKUSYM): study protocol for a multi-center, randomized controlled, parallel-group superiority trial. Trials 2022;23(1) View
  6. Painter A, Hayhoe B, Riboli-Sasco E, El-Osta A. Online Symptom Checkers: Recommendations for a Vignette-Based Clinical Evaluation Standard. Journal of Medical Internet Research 2022;24(10):e37408 View
  7. 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
  8. Pairon A, Philips H, Verhoeven V. A scoping review on the use and usefulness of online symptom checkers and triage systems: How to proceed?. Frontiers in Medicine 2023;9 View
  9. Kopka M, Scatturin L, Napierala H, Fürstenau D, Feufel M, Balzer F, Schmieding M. Characteristics of Users and Nonusers of Symptom Checkers in Germany: Cross-Sectional Survey Study. Journal of Medical Internet Research 2023;25:e46231 View
  10. North F, Jensen T, Stroebel R, Nelson E, Johnson B, Thompson M, Pecina J, Crum B. Self-Triage Use, Subsequent Healthcare Utilization, and Diagnoses: A Retrospective Study of Process and Clinical Outcomes Following Self-Triage and Self-Scheduling for Ear or Hearing Symptoms. Health Services Research and Managerial Epidemiology 2023;10:233339282311681 View
  11. Kafke S, Kuhlmey A, Schuster J, Blüher S, Czimmeck C, Zoellick J, Grosse P. Can clinical decision support systems be an asset in medical education? An experimental approach. BMC Medical Education 2023;23(1) View
  12. 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
  13. Chenais G, Lagarde E, Gil-Jardiné C. Artificial Intelligence in Emergency Medicine: Viewpoint of Current Applications and Foreseeable Opportunities and Challenges. Journal of Medical Internet Research 2023;25:e40031 View
  14. Wiedermann C, Mahlknecht A, Piccoliori G, Engl A. Redesigning Primary Care: The Emergence of Artificial-Intelligence-Driven Symptom Diagnostic Tools. Journal of Personalized Medicine 2023;13(9):1379 View
  15. de Koning E, van der Haas Y, Saguna S, Stoop E, Bosch J, Beeres S, Schalij M, Boogers M. AI Algorithm to Predict Acute Coronary Syndrome in Prehospital Cardiac Care: Retrospective Cohort Study. JMIR Cardio 2023;7:e51375 View
  16. Hirosawa T, Mizuta K, Harada Y, Shimizu T. Comparative Evaluation of Diagnostic Accuracy Between Google Bard and Physicians. The American Journal of Medicine 2023;136(11):1119 View
  17. 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
  18. Mahlknecht A, Engl A, Piccoliori G, Wiedermann C. Supporting primary care through symptom checking artificial intelligence: a study of patient and physician attitudes in Italian general practice. BMC Primary Care 2023;24(1) View
  19. Drapkina O, Nedogoda S, Bolotova S, Lavrenova E, Tsoma V, Ledyaeva A, Chumachek E, Barykina I, Salasyuk A, Lutova V, Popova E. Symptom-oriented diagnostics as an important element in improving the quality of medical care. Profilakticheskaya meditsina 2023;26(9):7 View
  20. Kopka M, Feufel M, Berner E, Schmieding M. How suitable are clinical vignettes for the evaluation of symptom checker apps? A test theoretical perspective. DIGITAL HEALTH 2023;9 View
  21. Hirosawa T, Kawamura R, Harada Y, Mizuta K, Tokumasu K, Kaji Y, Suzuki T, Shimizu T. ChatGPT-Generated Differential Diagnosis Lists for Complex Case–Derived Clinical Vignettes: Diagnostic Accuracy Evaluation. JMIR Medical Informatics 2023;11:e48808 View
  22. Liu V, Koskela T, Kaila M. User-Initiated Symptom Assessment With an Electronic Symptom Checker: Protocol for a Mixed Methods Validation Study. JMIR Research Protocols 2023;12:e41423 View
  23. 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
  24. Schnoor K, Versluis A, Chavannes N, Talboom-Kamp E. Are there differences between the diagnostic test advice of an online triage tool and a general practitioner? A vignette based qualitative study on the decision-making for sexual transmitted infections tests (Preprint). JMIR Human Factors 2023 View