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

Justus Scheder-Bieschin 1, MD;  Bibiana Blümke 2, MD;  Erwin de Buijzer 2, MD;  Fabienne Cotte 2, MD;  Fabian Echterdiek 3, MD;  Júlia Nacsa 2, MFA;  Marta Ondresik 2, MA;  Matthias Ott 1, MD;  Gregor Paul 4, MD;  Tobias Schilling 1, MD;  Anne Schmitt 2, BSc, MSc;  Paul Wicks 2, PhD;  Stephen Gilbert 2, 5, PhD

1 Department of Interdisciplinary Acute, Emergency and Intensive Care Medicine (DIANI), Klinikum Stuttgart , Stuttgart , DE

2 Ada Health , Berlin , DE

3 Department of Nephrology, Klinikum Stuttgart , Stuttgart , DE

4 Department of Infectious Diseases, Klinikum Stuttgart , Stuttgart , DE

5 The Else Kröner Fresenius Center for Digital Health, University Hospital Carl Gustav Carus Dresden, Technische Universität Dresden, Dresden , DE

Corresponding Author:

  • Stephen Gilbert, PhD
  • The Else Kröner Fresenius Center for Digital Health
  • University Hospital Carl Gustav Carus Dresden
  • Technische Universität Dresden
  • Postfach 151 Fetscherstraße 74
  • Dresden
  • DE
  • Phone: 49 17680396015
  • Email: stephen.gilbert@mailbox.tu-dresden.de