دورية أكاديمية

Automating risk stratification for geriatric syndromes in the emergency department

التفاصيل البيبلوغرافية
العنوان: Automating risk stratification for geriatric syndromes in the emergency department
المؤلفون: Haimovich, Adrian D., Shah, Manish N., Southerland, Lauren T., Hwang, Ula, Patterson, Brian W.
المساهمون: Agency for Healthcare Research and Quality, National Institute on Aging, U.S. Department of Veterans Affairs, National Center for Advancing Translational Sciences, John A. Hartford Foundation
المصدر: Journal of the American Geriatrics Society ; volume 72, issue 1, page 258-267 ; ISSN 0002-8614 1532-5415
بيانات النشر: Wiley
سنة النشر: 2023
المجموعة: Wiley Online Library (Open Access Articles via Crossref)
الوصف: Background Geriatric emergency department (GED) guidelines endorse screening older patients for geriatric syndromes in the ED, but there have been significant barriers to widespread implementation. The majority of screening programs require engagement of a clinician, nurse, or social worker, adding to already significant workloads at a time of record‐breaking ED patient volumes, staff shortages, and hospital boarding crises. Automated, electronic health record (EHR)‐embedded risk stratification approaches may be an alternate solution for extending the reach of the GED mission by directing human actions to a smaller subset of higher risk patients. Methods We define the concept of automated risk stratification and screening using existing EHR data. We discuss progress made in three potential use cases in the ED: falls, cognitive impairment, and end‐of‐life and palliative care, emphasizing the importance of linking automated screening with systems of healthcare delivery. Results Research progress and operational deployment vary by use case, ranging from deployed solutions in falls screening to algorithmic validation in cognitive impairment and end‐of‐life care. Conclusions Automated risk stratification offers a potential solution to one of the most pressing problems in geriatric emergency care: identifying high‐risk populations of older adults most appropriate for specific GED care. Future work is needed to realize the promise of improved care with less provider burden by creating tools suitable for widespread deployment as well as best practices for their implementation and governance.
نوع الوثيقة: article in journal/newspaper
اللغة: English
DOI: 10.1111/jgs.18594
الإتاحة: https://doi.org/10.1111/jgs.18594Test
حقوق: http://creativecommons.org/licenses/by-nc-nd/4.0Test/
رقم الانضمام: edsbas.EB9D4D0A
قاعدة البيانات: BASE