Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44732, first published .
Physician- and Patient-Elicited Barriers and Facilitators to Implementation of a Machine Learning–Based Screening Tool for Peripheral Arterial Disease: Preimplementation Study With Physician and Patient Stakeholders

Physician- and Patient-Elicited Barriers and Facilitators to Implementation of a Machine Learning–Based Screening Tool for Peripheral Arterial Disease: Preimplementation Study With Physician and Patient Stakeholders

Physician- and Patient-Elicited Barriers and Facilitators to Implementation of a Machine Learning–Based Screening Tool for Peripheral Arterial Disease: Preimplementation Study With Physician and Patient Stakeholders

Vy Ho   1 , MSc, MD ;   Cati Brown Johnson   2 , PhD ;   Ilies Ghanzouri   1 , MSc ;   Saeed Amal   3 , PhD ;   Steven Asch   2, 4 , MPH, MD ;   Elsie Ross   1 , MSc, MD

1 Division of Vascular Surgery, Department of Surgery, Stanford University School of Medicine, Stanford, CA, United States

2 Division of Primary Care and Population Health, Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States

3 College of Engineering, Northeastern University, Boston, MA, United States

4 Center for Innovation to Implementation, Veterans Affairs Palo Alto Healthcare System, Palo Alto, CA, United States

Corresponding Author:

  • Vy Ho, MSc, MD
  • Division of Vascular Surgery
  • Department of Surgery
  • Stanford University School of Medicine
  • 500 Pasteur Drive
  • Stanford, CA, 94043
  • United States
  • Phone: 1 6507232185
  • Email: vivianho@stanford.edu