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

Formative Evaluation of Digital Health Interventions (2794) Artificial Intelligence (1698) Clinical Information and Decision Making (1632) Clinical Communication, Electronic Consultation and Telehealth (677) Human Factors and Usability Case Studies (888) Digital Health, Telehealth and e-Innovation in Clinical Settings (471) Development and Evaluation of Research Methods, Instruments and Tools (630)

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
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Jamal Tyler Jamal Tyler @favritRB

RT @jmirpub: JMIR Formative Res: Improving Emergency Department Patient-Physician Conversation Through an artificial intelligence (#AI) Sym…

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