Post-implementation usability evaluation of a human factors-based clinical decision support for pulmonary embolism (PE) diagnosis (Dx): PE Dx Study Part 1.

Clinical Decision Support Health IT Human Factors Human-Centered Design Usability Evaluation

Journal

Human factors in healthcare
ISSN: 2772-5014
Titre abrégé: Hum Factors Health
Pays: United States
ID NLM: 9918402387406676

Informations de publication

Date de publication:
Dec 2023
Historique:
pmc-release: 01 12 2024
medline: 20 5 2024
pubmed: 20 5 2024
entrez: 20 5 2024
Statut: ppublish

Résumé

While there is promise for health IT, such as Clinical Decision Support (CDS), to improve patient safety and clinician efficiency, poor usability has hindered widespread use of these tools. Human Factors (HF) principles and methods remain the gold standard for health IT design; however, there is limited information on how HF methods and principles influence CDS usability "in the wild". In this study, we explore the usability of an HF-based CDS used in the clinical environment; the CDS was designed according to a human-centered design process, which is described in Carayon et al. (2020). In this study, we interviewed 12 emergency medicine physicians, identifying 294 excerpts of barriers and facilitators of the CDS. Sixty-eight percent of excerpts related to the HF principles applied in the human-centered design of the CDS. The remaining 32% of excerpts related to 18 inductively-created categories, which highlight gaps in the CDS design process. Several barriers were related to the physical environment and organization work system elements as well as physicians' broader workflow in the emergency department (e.g., teamwork). This study expands our understanding of the usability outcomes of HF-based CDS "in the wild". We demonstrate the value of HF principles in the usability of CDS and identify areas for improvement to future human-centered design of CDS. The relationship between these usability outcomes and the HCD process is explored in an accompanying Part 2 manuscript.

Identifiants

pubmed: 38765769
doi: 10.1016/j.hfh.2023.100056
pmc: PMC11099629
pii:
doi:

Types de publication

Journal Article

Langues

eng

Déclaration de conflit d'intérêts

Competing interest statement: The authors have no conflicts of interest to declare.

Auteurs

Megan E Salwei (ME)

Center for Research and Innovation in Systems Safety, Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN, USA.
Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.

Peter L T Hoonakker (PLT)

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

Michael Pulia (M)

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

Douglas Wiegmann (D)

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

Brian W Patterson (BW)

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

Pascale Carayon (P)

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

Classifications MeSH