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An IoMT-based geriatric care management system for achieving smart health in nursing homes

机译：基于IoMT的老年护理管理系统，可实现养老院的智能健康

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Purpose The purpose of this paper is to develop an Internet of medical things (IoMT)-based geriatric care management system (I-GCMS), integrating IoMT and case-based reasoning (CBR) in order to deal with the global concerns of the increasing demand for elderly care service in nursing homes. Design/methodology/approach The I-GCMS is developed under the IoMT environment to collect real-time biometric data for total health monitoring. When the health of an elderly deteriorates, the CBR is used to revise and generate the customized care plan, and hence support and improve the geriatric care management (GCM) service in nursing homes. Findings A case study is conducted in a nursing home in Taiwan to evaluate the performance of the I-GCMS. Under the IoMT environment, the time saving in executing total health monitoring helps improve the daily operation effectiveness and efficiency. In addition, the proposed system helps leverage a proactive approach in modifying the content of a care plan in response to the change of health status of elderly. Originality/value Considering the needs for demanding and accurate healthcare services, this is the first time that IoMT and CBR technologies have been integrated in the field of GCM. This paper illustrates how to seamlessly connect various sensors to capture real-time biometric data to the I-GCMS platform for responsively supporting decision making in the care plan modification processes. With the aid of I-GCMS, the efficiency in executing the daily routine processes and the quality of healthcare services can be improved.
机译：目的本文的目的是开发一个基于医疗物联网（IoMT）的老年护理管理系统（I-GCMS），将IoMT和基于案例的推理（CBR）集成在一起，以应对日益增长的全球关注养老院对老年人护理服务的需求。设计/方法/方法I-GCMS是在IoMT环境下开发的，用于收集实时生物特征数据以进行总体健康监控。当老年人的健康状况恶化时，可使用CBR修改并生成定制的护理计划，从而支持和改善养老院的老年护理管理（GCM）服务。结果在台湾的一家疗养院进行了案例研究，以评估I-GCMS的性能。在IoMT环境下，节省执行整体健康监控的时间有助于提高日常运营效率和效率。另外，提出的系统有助于利用主动方法来响应老年人健康状况的变化而修改护理计划的内容。创新性/价值考虑到对苛刻且准确的医疗服务的需求，这是IoMT和CBR技术首次在GCM领域进行集成。本文说明了如何无缝连接各种传感器以将实时生物特征数据捕获到I-GCMS平台，以响应性地支持护理计划修改过程中的决策。借助I-GCMS，可以提高执行日常流程的效率和医疗服务的质量。

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