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

Symptom Checkers (31) Digital Health Reviews (1291) New Methods (946) Use and User Demographics of mHealth (336) Mobile Health (mhealth) (2945) mHealth in a Clinical Setting (616)

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

Authors of this article:

Carl T Berdahl1 Author Orcid Image ;   Andrew J Henreid1 Author Orcid Image ;   Joshua M Pevnick1 Author Orcid Image ;   Kai Zheng2 Author Orcid Image ;   Teryl K Nuckols1 Author Orcid Image
Article Authors Cited by (9) Tweetations (11) Metrics

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 2023:1 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 2023:1 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