Implementation of Machine Learning Applications in Health Care Organizations: Systematic Review of Empirical Studies.

Journal: Journal of medical Internet research
PMID:

Abstract

BACKGROUND: There is a growing enthusiasm for machine learning (ML) among academics and health care practitioners. Despite the transformative potential of ML-based applications for patient care, their uptake and implementation in health care organizations are sporadic. Numerous challenges currently impede or delay the widespread implementation of ML in clinical practice, and limited knowledge is available regarding how these challenges have been addressed.

Authors

  • Luigi M Preti
    Center for Research on Health and Social Care Management (CERGAS), SDA Bocconi School of Management, Milan, Italy.
  • Vittoria Ardito
    Center for Research on Health and Social Care Management (CERGAS), SDA Bocconi School of Management, Milan, Italy.
  • Amelia Compagni
    Center for Research on Health and Social Care Management (CERGAS), SDA Bocconi School of Management, Milan, Italy.
  • Francesco Petracca
    Center for Research on Health and Social Care Management (CERGAS), SDA Bocconi School of Management, Milan, Italy.
  • Giulia Cappellaro
    Center for Research on Health and Social Care Management (CERGAS), SDA Bocconi School of Management, Milan, Italy.