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Cited by 717

The DOI matches its Crossref record; 125 of the 125 references it cites were found in a registry or an index.

Human factors systems approach to healthcare quality and patient safety

Open access
Carayon, Pascale, Wetterneck, Tosha B., Rivera-Rodriguez, A. Joy, Hundt, Ann Schoofs, Hoonakker, Peter, Holden, Richard, Gurses, Ayse P.·2014·Applied Ergonomics

Abstract

Human factors systems approaches are critical for improving healthcare quality and patient safety. The SEIPS (Systems Engineering Initiative for Patient Safety) model of work system and patient safety is a human factors systems approach that has been successfully applied in healthcare research and practice. Several research and practical applications of the SEIPS model are described. Important implications of the SEIPS model for healthcare system and process redesign are highlighted. Principles for redesigning healthcare systems using the SEIPS model are described. Balancing the work system and encouraging the active and adaptive role of workers are key principles for improving healthcare quality and patient safety.

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Crossref · 10.1016/j.apergo.2013.04.023

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Metadata

Authors
Carayon, P., Wetterneck, T. B., Rivera-Rodriguez, A. J., Hundt, A. S., Hoonakker, P., Holden, R., & Gurses, A. P.
Venue
Applied Ergonomics
Publisher
Elsevier BV
Published
2014-01
Volume
45
Issue
1
Pages
14-25
ISSN
0003-6870 (ISSN-L)
OpenAlex
W2021774402
Cited by
717
References
125
FWCI
52.14
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Human factors systems approach to healthcare quality and patient safety. https://app.cochat.ai/papers/10.1016/j.apergo.2013.04.023
The paper
Carayon, P., Wetterneck, T. B., Rivera-Rodriguez, A. J., Hundt, A. S., Hoonakker, P., Holden, R., & Gurses, A. P. (2014). Human factors systems approach to healthcare quality and patient safety. Applied Ergonomics. https://doi.org/10.1016/j.apergo.2013.04.023

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.