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Chatbots and Conversational Agents (531) Artificial Intelligence (1371)

Published on in Vol 22, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20549, first published .
Use Characteristics and Triage Acuity of a Digital Symptom Checker in a Large Integrated Health System: Population-Based Descriptive Study

Use Characteristics and Triage Acuity of a Digital Symptom Checker in a Large Integrated Health System: Population-Based Descriptive Study

Use Characteristics and Triage Acuity of a Digital Symptom Checker in a Large Integrated Health System: Population-Based Descriptive Study

Authors of this article:

Keith E Morse1 Author Orcid Image ;   Nicolai P Ostberg2 Author Orcid Image ;   Veena G Jones3, 4 Author Orcid Image ;   Albert S Chan3, 4 Author Orcid Image
Article Authors Cited by (44) Tweetations (14) Metrics

Keith E Morse   1 , MD, MBA ;   Nicolai P Ostberg   2 , MS ;   Veena G Jones   3, 4 , MD ;   Albert S Chan   3, 4 , MD, MS

1 Department of Pediatrics, Stanford University School of Medicine, Palo Alto, CA, United States

2 Center for Biomedical Informatics Research, Stanford University School of Medicine, Palo Alto, CA, United States

3 Clinical Leadership Team, Sutter Health, Sacramento, CA, United States

4 Palo Alto Medical Foundation Research Institute, Palo Alto, CA, United States

Corresponding Author:

  • Keith E Morse, MD, MBA
  • Department of Pediatrics
  • Stanford University School of Medicine
  • 750 Welch Road
  • Suite 315
  • Palo Alto, CA, 94304
  • United States
  • Phone: 1 650 723 5711
  • Fax: 1 650 725 8351
  • Email: kmorse@stanfordchildrens.org