Workflow integration analysis of a human factors-based clinical decision support in the emergency department.

Clinical decision support Emergency department Health IT Usability Workflow integration

Journal

Applied ergonomics
ISSN: 1872-9126
Titre abrégé: Appl Ergon
Pays: England
ID NLM: 0261412

Informations de publication

Date de publication:
Nov 2021
Historique:
received: 01 12 2020
revised: 03 06 2021
accepted: 07 06 2021
pubmed: 29 6 2021
medline: 25 8 2021
entrez: 28 6 2021
Statut: ppublish

Résumé

Numerous challenges with the implementation, acceptance, and use of health IT are related to poor usability and a lack of integration of the technologies into clinical workflow, and have, therefore, limited the potential of these technologies to improve patient safety. We propose a definition and conceptual model of health IT workflow integration. Using interviews of 12 emergency department (ED) physicians, we identify 134 excerpts of barriers and facilitators to workflow integration of a human factors (HF)-based clinical decision support (CDS) implemented in the ED. Using data on these 134 barriers and facilitators, we distinguish 25 components of workflow integration of the CDS, which are described according to four dimensions of workflow integration: time, flow, scope of patient journey, and level. The proposed definition and conceptual model of workflow integration can be used to inform health IT design; this is the purpose of the proposed checklist that can help to ensure consideration of workflow integration during the development of health IT.

Identifiants

pubmed: 34182430
pii: S0003-6870(21)00145-9
doi: 10.1016/j.apergo.2021.103498
pmc: PMC8474147
mid: NIHMS1714151
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

103498

Subventions

Organisme : AHRQ HHS
ID : R01 HS022086
Pays : United States
Organisme : NLM NIH HHS
ID : T15 LM007450
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002373
Pays : United States

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

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Auteurs

Megan E Salwei (ME)

Department of Biomedical Informatics, Vanderbilt University Medical Center, USA; Center for Research and Innovation in Systems Safety, Vanderbilt University Medical Center, USA. Electronic address: megan.salwei@vumc.org.

Pascale Carayon (P)

Department of Industrial and Systems Engineering, University of Wisconsin-Madison, USA; Wisconsin Institute for Healthcare Systems Engineering, University of Wisconsin-Madison, USA.

Peter L T Hoonakker (PLT)

Wisconsin Institute for Healthcare Systems Engineering, University of Wisconsin-Madison, USA.

Ann Schoofs Hundt (AS)

Wisconsin Institute for Healthcare Systems Engineering, University of Wisconsin-Madison, USA.

Douglas Wiegmann (D)

Department of Industrial and Systems Engineering, University of Wisconsin-Madison, USA; Wisconsin Institute for Healthcare Systems Engineering, University of Wisconsin-Madison, USA.

Michael Pulia (M)

Wisconsin Institute for Healthcare Systems Engineering, University of Wisconsin-Madison, USA; BerbeeWalsh Department of Emergency Medicine, University of Wisconsin-Madison, USA.

Brian W Patterson (BW)

Department of Industrial and Systems Engineering, University of Wisconsin-Madison, USA; Wisconsin Institute for Healthcare Systems Engineering, University of Wisconsin-Madison, USA; BerbeeWalsh Department of Emergency Medicine, University of Wisconsin-Madison, USA.

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