Cited by 112Artificial Intelligence in Healthcare and EducationElectronic Health Records SystemsInformation Systems Theories and Implementation

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A Sociotechnical Systems Framework for the Application of Artificial Intelligence in Health Care Delivery

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Salwei, Megan E., Carayon, Pascale·2022·Journal of Cognitive Engineering and Decision Making

DOI 10.1177/15553434221097357PMC PMC9873227

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Abstract

In the coming years, artificial intelligence (AI) will pervade almost every aspect of the health care delivery system. AI has the potential to improve patient safety (e.g., diagnostic accuracy) as well as reduce the burden on clinicians (e.g., documentation-related workload); however, these benefits are yet to be realized. AI is only one element of a larger sociotechnical system that needs to be considered for effective AI application. In this paper, we describe the current challenges of integrating AI into clinical care and propose a sociotechnical systems (STS) approach for AI design and implementation. We demonstrate the importance of an STS approach through a case study on the design and implementation of a clinical decision support (CDS). In order for AI to reach its potential, the entire work system as well as clinical workflow must be systematically considered throughout the design of AI technology.

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Authors: Salwei, M. E., & Carayon, P.
Affiliations: Vanderbilt University Medical Center (US)
University of Wisconsin–Madison (US)
Corresponding author: Salwei, Megan E.
ORCID: Salwei, Megan E.
Carayon, Pascale
Venue: Journal of Cognitive Engineering and Decision Making
Publisher: SAGE Publications
Published: 2022-05-11
Volume: 16
Issue: 4
Pages: 194-206
ISSN: 1555-3434 (ISSN-L)
DOI: 10.1177/15553434221097357
PMC: PMC9873227
OpenAlex: W4280579451
Cited by: 112
References: 56
Citations by year: 2026: 58 · 2025: 29 · 2024: 18 · 2023: 5 · 2022: 2
FWCI: 4.07
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
Locations: Journal of Cognitive Engineering and Decision Making (publishedVersion)
PubMed (publishedVersion)
PubMed Central (acceptedVersion)
Funders: National Center for Advancing Translational Sciences (1UL1TR002373)
Agency for Healthcare Research and Quality (K12HS026395, R01HS022086)
U.S. National Library of Medicine (T15LM007450-19)
Topics: Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
Social Sciences › Business, Management and Accounting › Management Information Systems › Information Systems Theories and Implementation
Keywords: artificial intelligence in healthcare, socio-technical systems, clinical decision support, clinical workflow, patient safety, clinician workload, work system design, AI implementation

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A Sociotechnical Systems Framework for the Application of Artificial Intelligence in Health Care Delivery

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