利用可穿戴设备提供的数据增强电子病历系统:监测老年人手术后症状的端到端解决方案。

ArXiv Pub Date : 2024-10-28
Heng Sun, Sai Manoj Jalam, Havish Kodali, Subhash Nerella, Ruben D Zapata, Nicole Gravina, Jessica Ray, Erik C Schmidt, Todd Matthew Manini, Rashidi Parisa
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引用次数: 0

摘要

过去十年来,移动医疗(mHealth)应用程序在患者健康监测方面越来越受欢迎,但由于与电子健康记录(EHR)系统的集成度有限,其及时干预的潜力尚未得到充分利用。目前的电子病历系统缺乏对症状、用药依从性、身体和社会功能以及社区融合的实时监控功能。现有系统通常依赖静态的诊室测量数据,而非动态的实时患者数据。这凸显了在电子病历中整合患者生成的健康数据 (PGHD) 的自动化、可扩展和以人为本平台的必要性。以用户友好的格式整合患者生成的健康数据可以加强对患者症状的监控,最终改善护理管理和术后效果。为了解决这一障碍,我们开发了一个移动医疗平台 ROAMM-EHR,利用智能手表采集实时传感器数据和患者报告结果 (PRO)。ROAMM-EHR 平台可以从消费者智能手表中捕获数据,将捕获的数据发送到安全服务器,并使用用户友好的界面在 Epic EHR 系统中显示信息,从而使医疗服务提供者能够有效监测手术后症状。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing EHR Systems with data from wearables: An end-to-end Solution for monitoring post-Surgical Symptoms in older adults.

Mobile health (mHealth) apps have gained popularity over the past decade for patient health monitoring, yet their potential for timely intervention is underutilized due to limited integration with electronic health records (EHR) systems. Current EHR systems lack real-time monitoring capabilities for symptoms, medication adherence, physical and social functions, and community integration. Existing systems typically rely on static, in-clinic measures rather than dynamic, real-time patient data. This highlights the need for automated, scalable, and human-centered platforms to integrate patient-generated health data (PGHD) within EHR. Incorporating PGHD in a user-friendly format can enhance patient symptom surveillance, ultimately improving care management and post-surgical outcomes. To address this barrier, we have developed an mHealth platform, ROAMM-EHR, to capture real-time sensor data and Patient Reported Outcomes (PROs) using a smartwatch. The ROAMM-EHR platform can capture data from a consumer smartwatch, send captured data to a secure server, and display information within the Epic EHR system using a user-friendly interface, thus enabling healthcare providers to monitor post-surgical symptoms effectively.

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