普适护理和博士助理-皮纳塔

2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops Pub Date : 2011-05-23 DOI:10.4108/ICST.PERVASIVEHEALTH.2011.245983

A. Dingli, C. Abela

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引用次数: 3

摘要

由于人口保健需求的增加，护士和医生与病人的比例不断下降，但预计保健服务的质量会提高。通过融合环境智能(Ami)和语义网技术，PINATA希望解决这个问题。PINATA利用无处不在的设备帮助医生和护士专注于患者，从而提高医疗服务质量。在本文中，我们将讨论可比较的Ami系统架构;总结PINATA的物理和逻辑设计;提供以RDF/S建模的知识库的详细信息，以及为感兴趣的单位(包括资源和与上下文相关的概念)设计的本体。这些单独的模型通过另一组类和属性统一到一个连接的、上下文丰富的数据模型中。提出的结果是基于几项已完成的测试，非常有希望。

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Pervasive nursing and doctoral assistant — PINATA

The ratio of nurses and doctors to patients keeps diminishing due to increasing population health needs, however it is expected that the quality in healthcare services increases. By merging Ambient Intelligence (Ami) and semantic web technologies, PINATA aspires to address this issue. PINATA utilises pervasive devices to aid doctors and nurses to focus on the patient and thus improve the quality of healthcare services. In this paper we go over comparable Ami system architectures; summarise the physical and logical design of PINATA; provide details of the knowledgebase modelled in RDF/S and the ontologies designed for units of interest, including resources, and context-related concepts. These individual models are unified into a connected, context-rich data model through another set of classes and properties. The results presented were based on several tests done and are very promising.

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2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops

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