Determinants of implementing artificial intelligence-based clinical decision support tools in healthcare: a scoping review protocol.

Journal: BMJ open
Published Date:

Abstract

INTRODUCTION: Artificial intelligence (AI), the simulation of human intelligence processes by machines, is being increasingly leveraged to facilitate clinical decision-making. AI-based clinical decision support (CDS) tools can improve the quality of care and appropriate use of healthcare resources, and decrease healthcare provider burnout. Understanding the determinants of implementing AI-based CDS tools in healthcare delivery is vital to reap the benefits of these tools. The objective of this scoping review is to map and synthesise determinants (barriers and facilitators) to implementing AI-based CDS tools in healthcare.

Authors

  • Bishnu Bajgain
    Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.
  • Diane Lorenzetti
    Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.
  • Joon Lee
    Health Data Science Lab, School of Public Health and Health Systems, University of Waterloo, Waterloo, Ontario, Canada.
  • Khara Sauro
    Departments of Community Health Sciences, Surgery & Oncology, University of Calgary, Calgary, Alberta, Canada kmsauro@ucalgary.ca.