2023
DOI: 10.1111/jgs.18383
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Machine learning functional impairment classification with electronic health record data

Abstract: BackgroundPoor functional status is a key marker of morbidity, yet is not routinely captured in clinical encounters. We developed and evaluated the accuracy of a machine learning algorithm that leveraged electronic health record (EHR) data to provide a scalable process for identification of functional impairment.MethodsWe identified a cohort of patients with an electronically captured screening measure of functional status (Older Americans Resources and Services ADL/IADL) between 2018 and 2020 (N = 6484). Pati… Show more

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Cited by 5 publications
(3 citation statements)
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“…Visit this website to learn about the bundle of tools and activities that have been shown to reduce readmissions and emergency department visits, including tools to improve handoff communication [2]. This study showed that machine-learning algorithms can detect functional impairment from clinical data in the electronic health record, potentially facilitating risk stratification of surgical patients [22]. Read this part of an article series that examines how financial costs of long-term care and home care drain older Americans and their families [1].…”
Section: Read This Nextmentioning
confidence: 99%
See 2 more Smart Citations
“…Visit this website to learn about the bundle of tools and activities that have been shown to reduce readmissions and emergency department visits, including tools to improve handoff communication [2]. This study showed that machine-learning algorithms can detect functional impairment from clinical data in the electronic health record, potentially facilitating risk stratification of surgical patients [22]. Read this part of an article series that examines how financial costs of long-term care and home care drain older Americans and their families [1].…”
Section: Read This Nextmentioning
confidence: 99%
“…This study showed that machine-learning algorithms can detect functional impairment from clinical data in the electronic health record, potentially facilitating risk stratification of surgical patients [22].…”
Section: Read This Nextmentioning
confidence: 99%
See 1 more Smart Citation