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

Symptom Checkers (42) Information Seeking, Information Needs (561) Information Quality in Digital Media (407) Information Retrieval (348)

Published on in Vol 24, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36322, first published .
Health Information Seeking From an Intelligent Web-Based Symptom Checker: Cross-sectional Questionnaire Study

Health Information Seeking From an Intelligent Web-Based Symptom Checker: Cross-sectional Questionnaire Study

Health Information Seeking From an Intelligent Web-Based Symptom Checker: Cross-sectional Questionnaire Study

Authors of this article:

Kimberly Arellano Carmona1 Author Orcid Image ;   Deepti Chittamuru1 Author Orcid Image ;   Richard L Kravitz2 Author Orcid Image ;   Steven Ramondt3, 4 Author Orcid Image ;   A Susana Ramírez1 Author Orcid Image
Article Authors Cited by (31) Tweetations (5) Metrics

Journals

  1. Müller R, Klemmt M, Ehni H, Henking T, Kuhnmünch A, Preiser C, Koch R, Ranisch R. Ethical, legal, and social aspects of symptom checker applications: a scoping review. Medicine, Health Care and Philosophy 2022;25(4):737 View
  2. 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
  3. Riboli-Sasco E, El-Osta A, Alaa A, Webber I, Karki M, El Asmar M, Purohit K, Painter A, Hayhoe B. Triage and Diagnostic Accuracy of Online Symptom Checkers: Systematic Review. Journal of Medical Internet Research 2023;25:e43803 View
  4. Gellert G, Rasławska-Socha J, Marcjasz N, Price T, Kuszczyński K, Młodawska A, Jędruch A, Orzechowski P. How Virtual Triage Can Improve Patient Experience and Satisfaction: A Narrative Review and Look Forward. Telemedicine Reports 2023;4(1):292 View
  5. 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
  6. Frost E, Bosward R, Aquino Y, Braunack-Mayer A, Carter S. Facilitating public involvement in research about healthcare AI: A scoping review of empirical methods. International Journal of Medical Informatics 2024;186:105417 View
  7. Ayangunna E, Shah G, Kalu K, Shankar P, Shah B. Variations in Pattern of Social Media Engagement between Individuals with Chronic Conditions and Mental Health Conditions. Informatics 2024;11(2):18 View
  8. 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
  9. Kopka M, Feufel M. Software symptomcheckR: an R package for analyzing and visualizing symptom checker triage performance. BMC Digital Health 2024;2(1) View
  10. Li Q, Li Y, Zhang S, Zhou X, Pan Z. A theoretical framework for human-centered intelligent information services: A systematic review. Information Processing & Management 2025;62(1):103891 View
  11. Rafieinasab F, Khademizadeh S, Peymannia B, Ghazavi R, Sheikhshoaei F. Exploring psychological variables in users’ health information-seeking behavior: A systematic review. Journal of Education and Health Promotion 2024;13(1) View
  12. Kopka M, Feufel M. Statistical refinement of patient-centered case vignettes for digital health research. Frontiers in Digital Health 2024;6 View
  13. Raynaud C, Wu D, Levy J, Marengo M, Bibault J. Patients Facing Large Language Models in Oncology: A Narrative Review. JCO Clinical Cancer Informatics 2024;(8) View
  14. Link E, Beckmann S. AI at everyone’s fingertips? Identifying the predictors of health information seeking intentions using AI. Communication Research Reports 2025;42(1):1 View
  15. Soe N, Towns J, Latt P, Woodberry O, Chung M, Lee D, Ong J, Chow E, Zhang L, Fairley C. Accuracy of symptom checker for the diagnosis of sexually transmitted infections using machine learning and Bayesian network algorithms. BMC Infectious Diseases 2024;24(1) View
  16. Kopka M, Napierala H, Privoznik M, Sapunova D, Zhang S, Feufel M. The RepVig framework for designing use-case specific representative vignettes and evaluating triage accuracy of laypeople and symptom assessment applications. Scientific Reports 2024;14(1) View
  17. Sezgin E, Jackson D, Kocaballi A, Bibart M, Zupanec S, Landier W, Audino A, Ranalli M, Skeens M. Can Large Language Models Aid Caregivers of Pediatric Cancer Patients in Information Seeking? A Cross‐Sectional Investigation. Cancer Medicine 2025;14(1) View
  18. Kopka M, Wang S, Kunz S, Schmid C, Feufel M. Technology-supported self-triage decision making. npj Health Systems 2025;2(1) View
  19. Koch R, Steffen M, Wetzel A, Preiser C, Klemmt M, Ehni H, Mueller R, Joos S. Exploring Laypersons’ Experiences With a Mobile Symptom Checker App as an Interface Between eHealth Literacy, Health Literacy, and Health-Related Behavior: Qualitative Interview Study. JMIR Formative Research 2025;9:e60647 View
  20. Chow J. Quantum Computing and Machine Learning in Medical Decision-Making: A Comprehensive Review. Algorithms 2025;18(3):156 View
  21. Kopka M, von Kalckreuth N, Feufel M. Accuracy of online symptom assessment applications, large language models, and laypeople for self–triage decisions. npj Digital Medicine 2025;8(1) View
  22. Wang K, Qu Y, Wong S. Exploring college students’ utilization of generative AI for career information seeking: an integrated model with PLS-SEM and FsQCA approach. Education and Information Technologies 2025;30(14):20071 View
  23. Yuan Y, Chu M, Tong D, Ma S. Public Awareness of Air Quality Issues in Manhattan Chinatown. Environment and Behavior 2025;57(3-4):326 View
  24. Rudd K, Randolph A, Angus D, Bauer M, Chesley C, Filbin M, Jenq G, Kempker J, Levine A, Levy P, Machado F, Mohr N, Quinn R, Rowan K, Shankar-Hari M, Sheikh F, Sleboda P, Teichman J, Calandra T, Prescott H. Preventing, identifying, and managing sepsis in the community: research and clinical priorities. The Lancet Primary Care 2025;1(1):100010 View
  25. Lund B, Mannuru N, katta M, Hota S, Pamukuntla A, Uppala S, Kola S, Mannuru A. Bringing Artificial Intelligence (AI) into Health Information Seeking Behavior: A Study of AI and Information Seeking Research. Journal of Health Communication 2025:1 View
  26. El-Osta A, Riboli-Sasco E, Al Ammouri M, Altalib S, Luisa Neves A, Majeed A, Hayhoe B. Factors Influencing the Use of Online Symptom Checkers in the United Kingdom: Cross-Sectional Study. JMIR Formative Research 2025;9:e65314 View
  27. Accorsi T, Moreira F, Eduardo A, Morbeck R, Köhler K, De Amicis Lima K, Pedrotti C. Patient Navigation Behavior in a Symptom-Based Self-Triage Mobile App for Direct-to-Consumer Urgent Care: Retrospective Observational Study. Journal of Medical Internet Research 2025;27:e63816 View

Books/Policy Documents

  1. Swoboda C, Singh P, Ramírez A, Fareed N. The Handbook of Language in Public Health and Healthcare. View
  2. Lin S. Navigating Health Information in the Age of Artificial Intelligence. View

Conference Proceedings

  1. Banerjee A, Baibhav P, Kumar N, Singh A, P G. 2024 International Conference on Sustainable Communication Networks and Application (ICSCNA). AI-Driven Symptom Checker: Leveraging Big Data Technologies for Real-Time Healthcare Triage and Diagnostics View
  2. Burle R, Gundewar S, Gaurkhede S, Fulkar B. 2025 International Conference on Electronics and Renewable Systems (ICEARS). Conversational Symptom Checker Chatbot for Disease Prediction and Suggesting Nearby Hospitals using Machine Learning and Location Services View