Retrospective comparison of traditional and artificial intelligence-based heart failure phenotyping in a US health system to enable real-world evidence.

Journal: BMJ open
Published Date:

Abstract

OBJECTIVE: Quantitatively evaluate the quality of data underlying real-world evidence (RWE) in heart failure (HF).

Authors

  • Arthur Reshad Garan
    Beth Israel Deaconess Medical Center, Department of Medicine, Division of Cardiology, Harvard Medical School, Boston, Massachusetts, USA agaran@bidmc.harvard.edu.
  • Keri L Monda
    The Center for Observational Research and Medical Affairs, Amgen, Inc., Thousand Oaks, California, USA.
  • Ricardo E Dent-Acosta
    Amgen Inc, Thousand Oaks, California, USA.
  • Daniel J Riskin
    Verantos, Menlo Park, California, USA.
  • Ty J Gluckman
    Center for Cardiovascular Analytics, Research and Data Science (CARDS), Providence Heart Institute, Providence Research Network, Portland, Oregon, USA.