Predicting Post-ICU Functional Impairment During Early ICU Admission Using Real-world Electronic Health Record Data

Anna Krupp, You Wang, Chao Wang, Nicholas M. Mohr, Laura Frey-Law and Barbara Rakel

Clinical Nursing Research, 2025, vol. 34, issue 7, 332-339

Abstract: Intensive care unit (ICU) survivors increasingly report new or worsening functional impairment at hospital discharge. Early risk identification models that include high-dimensional nursing data may improve the delivery of preventive interventions. This study aims to develop and validate models predicting functional impairment at hospital discharge (Activity Measure for Post Acute Care [AMPAC] score

Keywords: intensive care unit; early mobility; early ambulation; critical care; nursing; nursing informatics; artificial intelligence; electronic health record (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:sae:clnure:v:34:y:2025:i:7:p:332-339

DOI: 10.1177/10547738251342845

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