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A scoping review of distributed cognition in acute care clinical decision-making.

Authors :
Wilson, Eric
Daniel, Michelle
Rao, Aditi
Torre, Dario
Durning, Steven
Anderson, Clare
Goldhaber, Nicole H.
Townsend, Whitney
Seifert, Colleen M.
Source :
Diagnosis (2194-802X); May2023, Vol. 10 Issue 2, p68-88, 21p
Publication Year :
2023

Abstract

In acute care settings, interactions between providers and tools drive clinical decision-making. Most studies of decision-making focus on individual cognition and fail to capture critical collaborations. Distributed Cognition (DCog) theory provides a framework for examining the dispersal of tasks among agents and artifacts, enhancing the investigation of decision-making and error. This scoping review maps the evidence collected in empiric studies applying DCog to clinical decision-making in acute care settings and identifies gaps in the existing literature. Thirty-seven articles were included. The majority (n=30) used qualitative methods (observations, interviews, artifact analysis) to examine the work of physicians (n=28), nurses (n=27), residents (n=16), and advanced practice providers (n=12) in intensive care units (n=18), operating rooms (n=7), inpatient units (n=7) and emergency departments (n=5). Information flow (n=30) and task coordination (n=30) were the most frequently investigated elements of DCog. Provider-artifact (n=35) and provider-provider (n=30) interactions were most explored. Electronic (n=18) and paper (n=15) medical records were frequently described artifacts. Seven prominent themes were identified. DCog is an underutilized framework for examining how information is obtained, represented, and transmitted through complex clinical systems. DCog offers mechanisms for exploring how technologies, like EMRs, and workspaces can help or hinder clinical decision-making. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2194802X
Volume :
10
Issue :
2
Database :
Complementary Index
Journal :
Diagnosis (2194-802X)
Publication Type :
Academic Journal
Accession number :
163738399
Full Text :
https://doi.org/10.1515/dx-2022-0095