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

Decision Support for Health Professionals (1367) Clinical Information and Decision Making (1696)

Published on in Vol 7, No 4 (2019): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14044, first published .
Differential Diagnosis Assessment in Ambulatory Care With an Automated Medical History–Taking Device: Pilot Randomized Controlled Trial

Differential Diagnosis Assessment in Ambulatory Care With an Automated Medical History–Taking Device: Pilot Randomized Controlled Trial

Differential Diagnosis Assessment in Ambulatory Care With an Automated Medical History–Taking Device: Pilot Randomized Controlled Trial

Authors of this article:

Adrien Jean-Pierre Schwitzguebel1 Author Orcid Image ;   Clarisse Jeckelmann2 Author Orcid Image ;   Roberto Gavinio3 Author Orcid Image ;   Cécile Levallois3 Author Orcid Image ;   Charles Benaïm1 Author Orcid Image ;   Hervé Spechbach3 Author Orcid Image
Article Authors Cited by (15) Tweetations (1) Metrics

Journals

  1. Harada Y, Shimizu T. Impact of a Commercial Artificial Intelligence–Driven Patient Self-Assessment Solution on Waiting Times at General Internal Medicine Outpatient Departments: Retrospective Study. JMIR Medical Informatics 2020;8(8):e21056 View
  2. Harada Y, Katsukura S, Kawamura R, Shimizu T. Efficacy of Artificial-Intelligence-Driven Differential-Diagnosis List on the Diagnostic Accuracy of Physicians: An Open-Label Randomized Controlled Study. International Journal of Environmental Research and Public Health 2021;18(4):2086 View
  3. Harada Y, Katsukura S, Kawamura R, Shimizu T. Effects of a Differential Diagnosis List of Artificial Intelligence on Differential Diagnoses by Physicians: An Exploratory Analysis of Data from a Randomized Controlled Study. International Journal of Environmental Research and Public Health 2021;18(11):5562 View
  4. Lee B, Lee T, Jeon H, Lee S, Kim K, Cho W, Hwang J, Chae Y, Jung J, Kang H, Kim N, Shin C, Jang J. Synergy Through Integration of Wearable EEG and Virtual Reality for Mild Cognitive Impairment and Mild Dementia Screening. IEEE Journal of Biomedical and Health Informatics 2022;26(7):2909 View
  5. Bratland S, Baste V, Steen K, Diaz E, Bondevik G. Physician factors associated with medical errors in Norwegian primary care emergency services. Scandinavian Journal of Primary Health Care 2021;39(4):429 View
  6. Kawamura R, Harada Y, Sugimoto S, Nagase Y, Katsukura S, Shimizu T. Incidence of Diagnostic Errors Among Unexpectedly Hospitalized Patients Using an Automated Medical History–Taking System With a Differential Diagnosis Generator: Retrospective Observational Study. JMIR Medical Informatics 2022;10(1):e35225 View
  7. Desai A, Anand S, Mathew S. Automated Interactive Patient History-Taking System. D Y Patil Journal of Health Sciences 2021;9(3):116 View
  8. Matsuoka A, Miike T, Yamazaki H, Higuchi M, Komaki M, Shinada K, Nakayama K, Sakurai R, Asahi M, Yoshitake K, Narumi S, Koba M, Sugioka T, Sakamoto Y, Pietrantonio F. Usefulness of a medical interview support application for residents: A pilot study. PLOS ONE 2022;17(9):e0274159 View
  9. Berdahl C, Henreid A, Pevnick J, Zheng K, Nuckols T. Digital Tools Designed to Obtain the History of Present Illness From Patients: Scoping Review. Journal of Medical Internet Research 2022;24(11):e36074 View
  10. 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
  11. Kanazawa A, Fujibayashi K, Watanabe Y, Kushiro S, Yanagisawa N, Fukataki Y, Kitamura S, Hayashi W, Nagao M, Nishizaki Y, Inomata T, Arikawa-Hirasawa E, Naito T. Evaluation of a Medical Interview-Assistance System Using Artificial Intelligence for Resident Physicians Interviewing Simulated Patients: A Crossover, Randomized, Controlled Trial. International Journal of Environmental Research and Public Health 2023;20(12):6176 View
  12. Verma N, Buch B, Pandya R, Taralekar R, Masand I, Rangparia H, Katira J, Acharya S. Evaluation and significance of a digital assistant for patient history-taking and physical examination in telemedicine. Oxford Open Digital Health 2024;2 View
  13. 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
  14. Sakamoto T, Harada Y, Shimizu T. Facilitating Trust Calibration in Artificial Intelligence–Driven Diagnostic Decision Support Systems for Determining Physicians’ Diagnostic Accuracy: Quasi-Experimental Study. JMIR Formative Research 2024;8:e58666 View
  15. Healey B, Schwitzguebel A, Spechbach H. Differential Diagnosis Assessment in Ambulatory Care with a Digital Health History Device: Pseudo-randomized Study (Preprint). JMIR Formative Research 2024 View