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

1 Division of General Academic Pediatrics, Massachusetts General Hospital , Boston, MA, US

2 Harvard Medical School , Bostonn, MA, US

3 Partners Healthcare , Connected Health Innovation, Boston, MA, US

4 Massachusetts General Hospital , Boston, MA, US

5 Harvard Medical School , Boston, MA, US

6 Massachusetts General Hospital , Boston, MA, US

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