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

Formative Evaluation of Digital Health Interventions (2412) Artificial Intelligence (1371) Clinical Information and Decision Making (1407) Clinical Communication, Electronic Consultation and Telehealth (590) Human Factors and Usability Case Studies (787) Digital Health, Telehealth and e-Innovation in Clinical Settings (401) Development and Evaluation of Research Methods, Instruments and Tools (481)

Published on in Vol 6, No 2 (2022): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28199, first published .
Improving Emergency Department Patient-Physician Conversation Through an Artificial Intelligence Symptom-Taking Tool: Mixed Methods Pilot Observational Study

Improving Emergency Department Patient-Physician Conversation Through an Artificial Intelligence Symptom-Taking Tool: Mixed Methods Pilot Observational Study

Improving Emergency Department Patient-Physician Conversation Through an Artificial Intelligence Symptom-Taking Tool: Mixed Methods Pilot Observational Study

Authors of this article:

Justus Scheder-Bieschin1 Author Orcid Image ;   Bibiana Blümke2 Author Orcid Image ;   Erwin de Buijzer2 Author Orcid Image ;   Fabienne Cotte2 Author Orcid Image ;   Fabian Echterdiek3 Author Orcid Image ;   Júlia Nacsa2 Author Orcid Image ;   Marta Ondresik2 Author Orcid Image ;   Matthias Ott1 Author Orcid Image ;   Gregor Paul4 Author Orcid Image ;   Tobias Schilling1 Author Orcid Image ;   Anne Schmitt2 Author Orcid Image ;   Paul Wicks2 Author Orcid Image ;   Stephen Gilbert2, 5 Author Orcid Image
Article Authors Cited by (11) Tweetations (4) Metrics

Journals

  1. Wozney L, Curran J, Archambault P, Cassidy C, Jabbour M, Mackay R, Newton A, Plint A, Somerville M. Electronic Discharge Communication Tools Used in Pediatric Emergency Departments: Systematic Review. JMIR Pediatrics and Parenting 2022;5(2):e36878 View
  2. Schmude M, Salim N, Azadzoy H, Bane M, Millen E, O’Donnell L, Bode P, Türk E, Vaidya R, Gilbert S. Investigating the Potential for Clinical Decision Support in Sub-Saharan Africa With AFYA (Artificial Intelligence-Based Assessment of Health Symptoms in Tanzania): Protocol for a Prospective, Observational Pilot Study. JMIR Research Protocols 2022;11(6):e34298 View
  3. National Council of State Boards of Nursing . The NCSBN 2023 Environmental Scan: Nursing at a Crossroads—An Opportunity for Action. Journal of Nursing Regulation 2023;13(4):S1 View
  4. Webb J. Proof of Concept: Using ChatGPT to Teach Emergency Physicians How to Break Bad News. Cureus 2023 View
  5. Gilbert S, Pimenta A, Stratton-Powell A, Welzel C, Melvin T. Continuous Improvement of Digital Health Applications Linked to Real-World Performance Monitoring: Safe Moving Targets?. Mayo Clinic Proceedings: Digital Health 2023;1(3):276 View
  6. Welzel C, Cotte F, Wekenborg M, Vasey B, McCulloch P, Gilbert S. Holistic Human-Serving Digitization of Health Care Needs Integrated Automated System-Level Assessment Tools. Journal of Medical Internet Research 2023;25:e50158 View
  7. Mostafa R, El-Atawi K. Strategies to Measure and Improve Emergency Department Performance: A Review. Cureus 2024 View
  8. 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
  9. Hammad , Parellangi , Dharma K, Mallongi A, Palutturi S, Nugroho H, Sajidah A, Rizani K, Utami N, Fauzan R, Rasyid M. LAY PERSON PERCEPTIONS ON TEACHING BASIC LIFE SUPPORT USING ANDROID SMARTPHONES ON SOUTH BORNEO INDONESIA. Journal of Law and Sustainable Development 2024;12(8):e3872 View
  10. Perivolaris A, Adams-McGavin C, Madan Y, Kishibe T, Antoniou T, Mamdani M, Jung J. Quality of interaction between clinicians and artificial intelligence systems. A systematic review. Future Healthcare Journal 2024;11(3):100172 View

Books/Policy Documents

  1. Gilbert S. Digital Respiratory Healthcare. View