Tan Sydney F, Cher Benjamin, Berian Julia R
Department of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, WI.
Semin Colon Rectal Surg. 2024 Dec;35(4). doi: 10.1016/j.scrs.2024.101060. Epub 2024 Nov 6.
Frailty is a well-recognized predictor of poor surgical outcomes for older adults, yet effective measurements and interventions remain limited. Technological advances offer an opportunity to address this gap and improve surgical care for older adults. This paper reviews the background of frailty and comprehensive geriatric assessments in surgery, and how technological innovations can advance frailty measurement and intervention in surgical settings. We review two broad areas of technological advancement as applied to frailty in surgery: 1) Innovation in the use of electronic health records (EHR) using Artificial Intelligence (AI) and Machine Learning (ML), and 2) Novel uses for wearable sensors and mobile health (mHealth) applications. We explore the integration of AI and ML with EHR systems, which can surpass traditional comorbidity indices by providing comprehensive health assessments and enhancing prediction models. Innovations like the electronic Frailty Index (eFI) show promise in expanding the reach of frailty assessments and facilitating real-time screening. Additionally, wearable devices and mobile health (mHealth) applications offer new ways to monitor and improve physical activity, nutrition, and psychological well-being, supporting perioperative rehabilitation. While these technologies present challenges, such as the need for infrastructure, training, and data interoperability, they offer promising strategies to facilitate the assessment and management of frailty among surgical patients. Continued research and tailored implementation strategies will be essential to fully realize the potential of these advancements in improving surgical outcomes for frail older adults.
衰弱是老年人手术预后不良的一个公认预测指标,但有效的测量方法和干预措施仍然有限。技术进步为弥补这一差距和改善老年人手术护理提供了契机。本文回顾了手术中衰弱和综合老年评估的背景,以及技术创新如何推动手术环境中衰弱的测量和干预。我们回顾了应用于手术中衰弱的两个广泛技术进步领域:1)使用人工智能(AI)和机器学习(ML)的电子健康记录(EHR)使用方面的创新,以及2)可穿戴传感器和移动健康(mHealth)应用的新用途。我们探讨了AI和ML与EHR系统的整合,这可以通过提供全面的健康评估和增强预测模型来超越传统的合并症指数。像电子衰弱指数(eFI)这样的创新在扩大衰弱评估范围和促进实时筛查方面显示出前景。此外,可穿戴设备和移动健康(mHealth)应用提供了监测和改善身体活动、营养和心理健康的新方法,支持围手术期康复。虽然这些技术带来了挑战,如对基础设施、培训和数据互操作性的需求,但它们提供了有前景的策略来促进手术患者衰弱的评估和管理。持续的研究和量身定制的实施策略对于充分实现这些进步在改善衰弱老年人手术预后方面的潜力至关重要。