Clinician Trust in Artificial Intelligence: What is Known and How Trust Can Be Facilitated

Juan C Rojas; Mario Teran; Craig A Umscheid

doi:10.1016/j.ccc.2023.02.004

Clinician Trust in Artificial Intelligence: What is Known and How Trust Can Be Facilitated

Crit Care Clin. 2023 Oct;39(4):769-782. doi: 10.1016/j.ccc.2023.02.004. Epub 2023 Mar 27.

Authors

Juan C Rojas¹, Mario Teran², Craig A Umscheid²

Affiliations

¹ Department of Internal Medicine, Rush University, 1725 West Harrison Street, Suite 010, Chicago, IL 60612, USA. Electronic address: juan_rojas@rush.edu.
² Agency for Healthcare Research and Quality, 5600 Fishers Lane, Mail Stop 06E53A, Rockville, MD 20857, USA.

PMID: 37704339
DOI: 10.1016/j.ccc.2023.02.004

Abstract

Predictive analytics based on artificial intelligence (AI) offer clinicians the opportunity to leverage big data available in electronic health records (EHR) to improve clinical decision-making, and thus patient outcomes. Despite this, many barriers exist to facilitating trust between clinicians and AI-based tools, limiting its current impact. Potential solutions are available at both the local and national level. It will take a broad and diverse coalition of stakeholders, from health-care systems, EHR vendors, and clinical educators to regulators, researchers and the patient community, to help facilitate this trust so that the promise of AI in health care can be realized.

Keywords: Algorithms; Artificial intelligence; Clinical decision support systems; Health-care delivery; Machine learning; Trust.

Publication types

Review

MeSH terms

Artificial Intelligence*
Big Data
Electronic Health Records
Humans
Trust*