An approach to predicting patient experience through machine learning and social network analysis.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Dec 9, 2020

Abstract

OBJECTIVE: Improving the patient experience has become an essential component of any healthcare system's performance metrics portfolio. In this study, we developed a machine learning model to predict a patient's response to the Hospital Consumer Assessment of Healthcare Providers and Systems survey's "Doctor Communications" domain questions while simultaneously identifying most impactful providers in a network.

Authors

  • Vitej Bari
    Department of Information Services, Northwell Health, New Hyde Park, New York, USA.
  • Jamie S Hirsch
    Department of Medicine, Norwell Health, Manhasset, NY, USA.
  • Joseph Narvaez
    Office of Patient and Customer Experience, Northwell Health, Lake Success, New York, USA.
  • Robert Sardinia
    Office of Patient and Customer Experience, Northwell Health, Lake Success, New York, USA.
  • Kevin R Bock
    Department of Information Services, Northwell Health, New Hyde Park, New York, USA.
  • Michael I Oppenheim
    Department of Information Services, Northwell Health, New Hyde Park, New York, USA.
  • Marsha Meytlis
    Department of Information Services, Northwell Health, New Hyde Park, New York, USA.

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