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

Chatbots and Conversational Agents (518) Artificial Intelligence (1329)

Published on in Vol 22, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20549, first published .
Use Characteristics and Triage Acuity of a Digital Symptom Checker in a Large Integrated Health System: Population-Based Descriptive Study

Use Characteristics and Triage Acuity of a Digital Symptom Checker in a Large Integrated Health System: Population-Based Descriptive Study

Use Characteristics and Triage Acuity of a Digital Symptom Checker in a Large Integrated Health System: Population-Based Descriptive Study

Authors of this article:

Keith E Morse1 Author Orcid Image ;   Nicolai P Ostberg2 Author Orcid Image ;   Veena G Jones3, 4 Author Orcid Image ;   Albert S Chan3, 4 Author Orcid Image
Article Authors Cited by (43) Tweetations (14) Metrics

Journals

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  4. Asadi F, Rahimi F, Ghaderkhany S, Almasi S. Self‐care for coronavirus disease through electronic health technologies: A scoping review. Health Science Reports 2023;6(2) View
  5. 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
  6. Judson T, Pierce L, Tutman A, Mourad M, Neinstein A, Shuler G, Gonzales R, Odisho A. Utilization patterns and efficiency gains from use of a fully EHR-integrated COVID-19 self-triage and self-scheduling tool: a retrospective analysis. Journal of the American Medical Informatics Association 2022;29(12):2066 View
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  9. Scheder-Bieschin J, Blümke B, de Buijzer E, Cotte F, Echterdiek F, Nacsa J, Ondresik M, Ott M, Paul G, Schilling T, Schmitt A, Wicks P, Gilbert S. Improving Emergency Department Patient-Physician Conversation Through an Artificial Intelligence Symptom-Taking Tool: Mixed Methods Pilot Observational Study. JMIR Formative Research 2022;6(2):e28199 View
  10. Cotte F, Mueller T, Gilbert S, Blümke B, Multmeier J, Hirsch M, Wicks P, Wolanski J, Tutschkow D, Schade Brittinger C, Timmermann L, Jerrentrup A. Safety of Triage Self-assessment Using a Symptom Assessment App for Walk-in Patients in the Emergency Care Setting: Observational Prospective Cross-sectional Study. JMIR mHealth and uHealth 2022;10(3):e32340 View
  11. Mansab F, Bhatti S, Goyal D. Reliability of COVID-19 symptom checkers as national triage tools: an international case comparison study. BMJ Health & Care Informatics 2021;28(1):e100448 View
  12. Abensur Vuillaume L, Turpinier J, Cipolat L, Arnaud-Dépil-Duval , Dumontier T, Peschanski N, Kieffer Y, Barbat B, Riquier T, Dinot V, Galland J, Piryani R. Exploratory study: Evaluation of a symptom checker effectiveness for providing a diagnosis and evaluating the situation emergency compared to emergency physicians using simulated and standardized patients. PLOS ONE 2023;18(2):e0277568 View
  13. 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
  14. 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
  15. White B, Martin A, White J. User Experience of COVID-19 Chatbots: Scoping Review. Journal of Medical Internet Research 2022;24(12):e35903 View
  16. Kim Y, DeLisa J, Chung Y, Shapiro N, Kolar Rajanna S, Barbour E, Loeb J, Turner J, Daley S, Skowlund J, Krishnan J. Recruitment in a research study via chatbot versus telephone outreach: a randomized trial at a minority-serving institution. Journal of the American Medical Informatics Association 2021;29(1):149 View
  17. Millen E, Salim N, Azadzoy H, Bane M, O'Donnell L, Schmude M, Bode P, Tuerk E, Vaidya R, Gilbert S. Study protocol for a pilot prospective, observational study investigating the condition suggestion and urgency advice accuracy of a symptom assessment app in sub-Saharan Africa: the AFYA-‘Health’ Study. BMJ Open 2022;12(4):e055915 View
  18. Arellano Carmona K, Chittamuru D, Kravitz R, Ramondt S, Ramírez A. Health Information Seeking From an Intelligent Web-Based Symptom Checker: Cross-sectional Questionnaire Study. Journal of Medical Internet Research 2022;24(8):e36322 View
  19. Wilson L, Marasoiu M. The Development and Use of Chatbots in Public Health: Scoping Review. JMIR Human Factors 2022;9(4):e35882 View
  20. Laukka E, Kujala S, Gluschkoff K, Kanste O, Hörhammer I, Heponiemi T. Leaders’ support for using online symptom checkers in Finnish primary care: Survey study. Health Informatics Journal 2021;27(4) View
  21. Chagas B, Pagano A, Prates R, Praes E, Ferreguetti K, Vaz H, Reis Z, Ribeiro L, Ribeiro A, Pedroso T, Beleigoli A, Oliveira C, Marcolino M. Evaluating User Experience With a Chatbot Designed as a Public Health Response to the COVID-19 Pandemic in Brazil: Mixed Methods Study. JMIR Human Factors 2023;10:e43135 View
  22. Ziebart C, Kfrerer M, Stanley M, Austin L. A Digital-First Health Care Approach to Managing Pandemics: Scoping Review of Pandemic Self-triage Tools. Journal of Medical Internet Research 2023;25:e40983 View
  23. Ben-Shabat N, Sharvit G, Meimis B, Ben Joya D, Sloma A, Kiderman D, Shabat A, Tsur A, Watad A, Amital H. Assessing Data Gathering Quality of Chatbot Based Symptom Checkers - a Clinical Vignettes Study. SSRN Electronic Journal 2022 View
  24. 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
  25. Martinengo L, Lin X, Jabir A, Kowatsch T, Atun R, Car J, Tudor Car L. Conversational Agents in Health Care: Expert Interviews to Inform the Definition, Classification, and Conceptual Framework. Journal of Medical Internet Research 2023;25:e50767 View
  26. Schooley B, Ahmed A, Maxwell J, Feldman S. Predictors of COVID-19 From a Statewide Digital Symptom and Risk Assessment Tool: Cross-Sectional Study. Journal of Medical Internet Research 2023;25:e46026 View
  27. Wu D, Bibault J. Pilot applications of GPT-4 in radiation oncology: Summarizing patient symptom intake and targeted chatbot applications. Radiotherapy and Oncology 2024;190:109978 View
  28. Lim W, Custodio R, Sunga M, Amoranto A, Sarmiento R. General Characteristics and Design Taxonomy of Chatbots for COVID-19: Systematic Review. Journal of Medical Internet Research 2024;26:e43112 View
  29. Mahdavi A, Amanzadeh M, Hamedan M, Naemi R. Artificial Intelligence-Based Chatbots to Combat COVID-19 Pandemic: A Scoping Review. Shiraz E-Medical Journal 2023;24(11) View
  30. Cummerow J, Wienecke C, Engler N, Marahrens P, Gruening P, Steinhäuser J. Identifying Existing Evidence to Potentially Develop a Machine Learning Diagnostic Algorithm for Cough in Primary Care Settings: Scoping Review. Journal of Medical Internet Research 2023;25:e46929 View
  31. Wetzel A, Klemmt M, Müller R, Rieger M, Joos S, Koch R. Only the anxious ones? Identifying characteristics of symptom checker app users: a cross-sectional survey. BMC Medical Informatics and Decision Making 2024;24(1) View
  32. Monteith S, Glenn T, Geddes J, Whybrow P, Achtyes E, Bauer M. Implications of Online Self-Diagnosis in Psychiatry. Pharmacopsychiatry 2024;57(02):45 View
  33. MacNeill A, MacNeill L, Yi S, Goudreau A, Luke A, Doucet S. Depiction of conversational agents as health professionals: a scoping review. JBI Evidence Synthesis 2024 View
  34. Laymouna M, Ma Y, Lessard D, Schuster T, Engler K, Lebouché B. Roles, Users, Benefits, and Limitations of Chatbots in Health Care: Rapid Review. Journal of Medical Internet Research 2024;26:e56930 View
  35. Harada Y, Sakamoto T, Sugimoto S, Shimizu T. Longitudinal Changes in Diagnostic Accuracy of a Differential Diagnosis List Developed by an AI-Based Symptom Checker: Retrospective Observational Study. JMIR Formative Research 2024;8:e53985 View
  36. 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
  37. Siira E, Tyskbo D, Nygren J. Healthcare leaders’ experiences of implementing artificial intelligence for medical history-taking and triage in Swedish primary care: an interview study. BMC Primary Care 2024;25(1) View
  38. Wallace W, Chan C, Chidambaram S, Hanna L, Acharya A, Daniels E, Normahani P, Matin R, Markar S, Sounderajah V, Liu X, Darzi A, Forger D. Evaluating the diagnostic and triage performance of digital and online symptom checkers for the presentation of myocardial infarction; A retrospective cross-sectional study. PLOS Digital Health 2024;3(8):e0000558 View
  39. 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

Books/Policy Documents

  1. Campos Ferreira M, Veloso M, Tavares J. Decision Support Systems XIV. Human-Centric Group Decision, Negotiation and Decision Support Systems for Societal Transitions. View
  2. Lai Y, Lioliou E, Panagiotopoulos P. Disruptive Innovation in a Digitally Connected Healthy World. View
  3. Antulay N, Adebesin F. Society 5.0. View