Published on in Vol 4, No 2 (2018): CHC18

Value and Acceptability of a Novel Machine Learning Technology for Heart Failure Readmission Reduction: Qualitative Analysis of Clinical Roles and Workflows

Value and Acceptability of a Novel Machine Learning Technology for Heart Failure Readmission Reduction: Qualitative Analysis of Clinical Roles and Workflows

Value and Acceptability of a Novel Machine Learning Technology for Heart Failure Readmission Reduction: Qualitative Analysis of Clinical Roles and Workflows

Simone Orlowski   1, 2, 3 ;   Sunetra Bane   1 ;   Jaclyn Hirschey   1 ;   Sujay Kakarmath   1, 4, 5 , MD MSc ;   Jennifer Felsted   1, 4 , PhD ;   Julie Brown   1 ;   Stephen Agboola   1, 3, 6 , MD, MPH ;   Kamal Jethwani   1, 3, 6 , MD, MPH

1 Partners Healthcare, Connected Health Innovation, Boston, MA, United States

2 Division of General Academic Pediatrics, Massachusetts General Hospital, Boston, MA, United States

3 Harvard Medical School, Bostonn, MA, United States

4 Massachusetts General Hospital, Boston, MA, United States

5 Harvard Medical School, Boston, MA, United States

6 Massachusetts General Hospital, Boston, MA, United States

Corresponding Author:

  • Sunetra Bane
  • Partners Healthcare
  • Connected Health Innovation
  • Boston, MA
  • United States
  • Email: sunetrabane@gmail.com