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, Germany

2 Ada Health, Berlin, Germany

3 Department of Nephrology, Klinikum Stuttgart, Stuttgart, Germany

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

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

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, 01307
  • Germany
  • Phone: 49 17680396015
  • Email: stephen.gilbert@mailbox.tu-dresden.de