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首页> 外文期刊>BMC Medical Informatics and Decision Making >Decision support at home (DS@HOME) – system architectures and requirements
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Decision support at home (DS@HOME) – system architectures and requirements

机译：家庭决策支持（DS @ HOME）–系统架构和要求

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Background Demographic change with its consequences of an aging society and an increase in the demand for care in the home environment has triggered intensive research activities in sensor devices and smart home technologies. While many advanced technologies are already available, there is still a lack of decision support systems (DSS) for the interpretation of data generated in home environments. The aim of the research for this paper is to present the state-of-the-art in DSS for these data, to define characteristic properties of such systems, and to define the requirements for successful home care DSS implementations. Methods A literature review was performed along with the analysis of cross-references. Characteristic properties are proposed and requirements are derived from the available body of literature. Results 79 papers were identified and analyzed, of which 20 describe implementations of decision components. Most authors mention server-based decision support components, but only few papers provide details about the system architecture or the knowledge base. A list of requirements derived from the analysis is presented. Among the primary drawbacks of current systems are the missing integration of DSS in current health information system architectures including interfaces, the missing agreement among developers with regard to the formalization and customization of medical knowledge and a lack of intelligent algorithms to interpret data from multiple sources including clinical application systems. Conclusions Future research needs to address these issues in order to provide useful information – and not only large amounts of data – for both the patient and the caregiver. Furthermore, there is a need for outcome studies allowing for identifying successful implementation concepts.
机译：背景技术人口变化及其带来的老龄化社会后果以及对家庭环境中护理需求的增长引发了对传感器设备和智能家居技术的深入研究活动。尽管已经有了许多先进的技术，但是仍然缺乏用于解释家庭环境中生成的数据的决策支持系统（DSS）。本文的研究目的是介绍这些数据的DSS最新技术，定义此类系统的特性以及确定成功实施家庭护理DSS的要求。方法对文献进行回顾性分析。提出了特性，并从现有文献中得出了要求。结果鉴定和分析了79篇论文，其中20篇描述了决策组件的实现。大多数作者提到基于服务器的决策支持组件，但是只有很少的论文提供有关系统体系结构或知识库的详细信息。列出了从分析得出的需求清单。当前系统的主要缺点包括缺少DSS在当前健康信息系统体系结构（包括接口）中的集成，开发人员之间关于医学知识的形式化和定制化的协议缺失以及缺乏智能算法来解释来自多个来源的数据（包括临床应用系统。结论未来的研究需要解决这些问题，以便为患者和护理人员提供有用的信息，而不仅仅是大量数据。此外，需要进行成果研究以确认成功的实施概念。

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