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多模式传感器家庭环境下的慢性病患者推荐服务

Recommendations service for chronic disease patient in multimodel sensors home environment.

作者信息

Hussain Maqbool, Ali Taqdir, Khan Wajahat Ali, Afzal Muhammad, Lee Sungyoung, Latif Khalid

机构信息

1 Department of Computer Engineering, Kyung Hee University , Yongin-si, Gyeonggi-do, Republic of Korea.

出版信息

Telemed J E Health. 2015 Mar;21(3):185-99. doi: 10.1089/tmj.2014.0028. Epub 2015 Jan 5.

DOI:10.1089/tmj.2014.0028
PMID:25559934
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4365435/
Abstract

With advanced technologies in hand, there exist potential applications and services built around monitoring activities of daily living (ADL) of elderly people at nursing homes. Most of the elderly people in these facilities are suffering from different chronic diseases such as dementia. Existing technologies are mainly focusing on non-medication interventions and monitoring of ADL for addressing loss of autonomy or well-being. Monitoring and managing ADL related to cognitive behaviors for non-medication intervention are very effective in improving dementia patients' conditions. However, cognitive functions of patients can be improved if appropriate recommendations of medications are delivered at a particular time. Previously we developed the Secured Wireless Sensor Network Integrated Cloud Computing for Ubiquitous-Life Care (SC(3)). SC(3) services were limited to monitoring ADL of elderly people with Alzheimer's disease and providing non-medication recommendations to the patient. In this article, we propose a system called the Smart Clinical Decision Support System (CDSS) as an integral part of the SC(3) platform. Using the Smart CDSS, patients are provided with access to medication recommendations of expert physicians. Physicians are provided with an interface to create clinical knowledge for medication recommendations and to observe the patient's condition. The clinical knowledge created by physicians as the knowledge base of the Smart CDSS produces recommendations to the caregiver for medications based on each patient's symptoms.

摘要

借助先进技术,围绕养老院老年人日常生活活动(ADL)监测存在潜在的应用和服务。这些机构中的大多数老年人患有不同的慢性疾病,如痴呆症。现有技术主要侧重于非药物干预和ADL监测,以解决自主性丧失或健康问题。对与认知行为相关的ADL进行监测和管理以进行非药物干预,对改善痴呆症患者的状况非常有效。然而,如果在特定时间提供适当的药物建议,患者的认知功能可以得到改善。此前我们开发了用于泛在生活护理的安全无线传感器网络集成云计算(SC(3))。SC(3)服务仅限于监测阿尔茨海默病老年人的ADL并向患者提供非药物建议。在本文中,我们提出了一种称为智能临床决策支持系统(CDSS)的系统,作为SC(3)平台的一个组成部分。使用智能CDSS,患者可以获得专家医生的药物建议。为医生提供了一个界面,用于创建药物建议的临床知识并观察患者的病情。医生创建的临床知识作为智能CDSS的知识库,根据每个患者的症状为护理人员提供药物建议。

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The Elderly's Independent Living in Smart Homes: A Characterization of Activities and Sensing Infrastructure Survey to Facilitate Services Development.老年人在智能家居中的独立生活:为促进服务发展而进行的活动与传感基础设施调查的特征分析
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本文引用的文献

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Authoring tool: acquiring sharable knowledge for Smart CDSS.创作工具:为智能临床决策支持系统获取可共享知识。
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