Published on in Vol 24, No 11 (2022): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36074, first published .
Digital Tools Designed to Obtain the History of Present Illness From Patients: Scoping Review

Digital Tools Designed to Obtain the History of Present Illness From Patients: Scoping Review

Digital Tools Designed to Obtain the History of Present Illness From Patients: Scoping Review

Journals

  1. Schneider S, Gasteiger C, Wecker H, Höbenreich J, Biedermann T, Brockow K, Zink A. Successful usage of a chatbot to standardize and automate history taking in Hymenoptera venom allergy. Allergy 2023;78(9):2526 View
  2. Noack E, Zajontz D, Friede T, Antweiler K, Hummers E, Schmidt T, Roddewig L, Schröder D, Müller F. Evaluating an app for digital medical history taking in urgent care practices: study protocol of the cluster-randomized interventional trial ‘DASI’. BMC Primary Care 2023;24(1) View
  3. Harada Y, Tomiyama S, Sakamoto T, Sugimoto S, Kawamura R, Yokose M, Hayashi A, Shimizu T. Effects of Combinational Use of Additional Differential Diagnostic Generators on the Diagnostic Accuracy of the Differential Diagnosis List Developed by an Artificial Intelligence–Driven Automated History–Taking System: Pilot Cross-Sectional Study. JMIR Formative Research 2023;7:e49034 View
  4. Kiuchi K, Otsu K, Hayashi Y. Psychological insights into the research and practice of embodied conversational agents, chatbots and social assistive robots: a systematic meta-review. Behaviour & Information Technology 2024;43(15):3696 View
  5. Zhakhina G, Tapinova K, Kanabekova P, Kainazarov T. Pre-consultation history taking systems and their impact on modern practices: Advantages and limitations. Journal of Clinical Medicine of Kazakhstan 2023;20(6):26 View
  6. Whitney K. Please Provide the Following Information: Enthymemes and the Logics of Individual Responsibility in the Patient Medical History Form. Technical Communication Quarterly 2025;34(1):1 View
  7. Gibelli F, Bailo P, Pesel G, Ricci G. Preserving Patient Stories: Bioethical and Legal Implications Related to the Shift from Traditional to Digital Anamnesis. Clinics and Practice 2024;14(4):1196 View
  8. Shapiro J, Lyakhovitsky A. Revolutionizing teledermatology: Exploring the integration of artificial intelligence, including Generative Pre-trained Transformer chatbots for artificial intelligence-driven anamnesis, diagnosis, and treatment plans. Clinics in Dermatology 2024;42(5):492 View
  9. Joos C, Albrink K, Hummers E, Müller F, Antweiler K, Schröder D, Noack E. Concordance of data collected by an app for medical history taking and in-person interviews from patients in primary care. JAMIA Open 2024;7(4) View
  10. Lee J, Choi E, Angulo S, McDougal R, Lytton W. Neurological history both twinned and queried by generative artificial intelligence. Frontiers in Medicine 2025;11 View
  11. Ramamoorthi K, Kassam I, Lo B, Kimball S, Strudwick G. Improving patient engagement in mental health: Exploring the potential of pre-visit notes in Canadian care settings. Healthcare Management Forum 2025;38(5):431 View
  12. Collins C, Fackler J, Sacco M, Jacobs M. Critical conversations: a user-centric approach to chatbots for history taking in the pediatric intensive care unit. Frontiers in Pediatrics 2025;13 View
  13. Craamer C, Timmers T, van der Weegen W, Kool R. Computer assisted history taking in elective and acute care: Systematic review. Health Policy and Technology 2025;14(6):101108 View
  14. Currle E, Haug S, Weber K. Akzeptanz des Einsatzes von Künstlicher Intelligenz im Anamneseprozess: Ergebnisse einer Bevölkerungsbefragung in Deutschland. Zeitschrift für Evidenz, Fortbildung und Qualität im Gesundheitswesen 2025;198-199:9 View

Books/Policy Documents

  1. Weber K, Currle E, Frommeld D, Haug S. Handbuch Materialität und Digitalität. View