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

Clinical Information and Decision Making (1340) Machine Learning (1401)

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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22421, first published .
Integrating a Machine Learning System Into Clinical Workflows: Qualitative Study

Integrating a Machine Learning System Into Clinical Workflows: Qualitative Study

Integrating a Machine Learning System Into Clinical Workflows: Qualitative Study

Authors of this article:

Sahil Sandhu1 Author Orcid Image ;   Anthony L Lin2 Author Orcid Image ;   Nathan Brajer2 Author Orcid Image ;   Jessica Sperling3 Author Orcid Image ;   William Ratliff4 Author Orcid Image ;   Armando D Bedoya5 Author Orcid Image ;   Suresh Balu4 Author Orcid Image ;   Cara O'Brien6 Author Orcid Image ;   Mark P Sendak4 Author Orcid Image
Article Authors Cited by (62) Tweetations (13) Metrics

Sahil Sandhu   1 , BS ;   Anthony L Lin   2 , MD ;   Nathan Brajer   2 , MBA, MD ;   Jessica Sperling   3 , PhD ;   William Ratliff   4 , MBA ;   Armando D Bedoya   5 , MD ;   Suresh Balu   4 , MBA, MS ;   Cara O'Brien   6 , MD ;   Mark P Sendak   4 , MPP, MD

1 Trinity College of Arts & Sciences, Duke University, Durham, NC, United States

2 Duke University School of Medicine, Durham, NC, United States

3 Social Science Research Institute, Duke University, Durham, NC, United States

4 Duke Institute for Health Innovation, Durham, NC, United States

5 Division of Pulmonary, Allergy, and Critical Care Medicine, Duke University School of Medicine, Durham, NC, United States

6 Department of Medicine, Duke University School of Medicine, Durham, NC, United States

Corresponding Author:

  • Sahil Sandhu, BS
  • Trinity College of Arts & Sciences
  • Duke University
  • 420 Chapel Drive, Box 98033
  • Durham, NC
  • United States
  • Phone: 1 4085504752
  • Email: sahilssandhu@gmail.com