Pressure injury surveillance in the intensive care unit: Development, validation, and clinical application of a natural language processing algorithm

Natural language processing can be used to perform PI surveillance in the ICU and facilitate the conduct of observational research. Future studies should consider integrating the finding that ICU-acquired PIs occur early in the ICU stay into quality improvement programs aimed at reducing PI incidence.

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Publication Details

Journal
Australian Critical Care
Published
2025-11-27
DOI
https://doi.org/10.1016/j.aucc.2025.101487
Primary Topic
Pressure Ulcer Prevention and Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Pressure injury surveillance in the intensive care unit: Development, validation, and clinical application of a natural language processing algorithm

Julia Pilowsky, Jae-Won Choi, Nhi Nguyen, Linda S. Williams et al.
Australian Critical Care
Pressure Ulcer Prevention and Management
article

Pressure injury surveillance in the intensive care unit: Development, validation, and clinical application of a natural language processing algorithm

Julia Pilowsky, Jae-Won Choi, Nhi Nguyen, Linda S. Williams, Sarah C. Jones
article en

Abstract

Natural language processing can be used to perform PI surveillance in the ICU and facilitate the conduct of observational research. Future studies should consider integrating the finding that ICU-acquired PIs occur early in the ICU stay into quality improvement programs aimed at reducing PI incidence.

Australian Critical CareVol. 39(1)
The University of Sydney (AU), Nepean Hospital (AU), Innovative Clinical Research (US), St George Hospital (AU)
Intensive Care Society
Openalex Percentile: Top 48%
Pressure Ulcer Prevention and Management
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