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

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.

Objective

This work aimed to (1) examine the characteristics of ML-based applications and the implementation process in clinical practice, using the Consolidated Framework for Implementation Research (CFIR) for theoretical guidance and (2) synthesize the strategies adopted by health care organizations to foster successful i

SUBMITTER: Preti LM 

PROVIDER: S-EPMC11629039 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature