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A knowledgeable security model for distributed health information systems

机译:分布式健康信息系统的知识渊博的安全模型

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摘要

Realising the vision of pervasive healthcare will generate new challenges to system security. Such challenges are fundamentally different from issues and problems that we face in centralised approaches as well as non-clinical scenarios. In this paper, we reflect upon our experiences in the HealthAgents project wherein a prototype system was developed and a novel approach employed that supports data transfer and decision making in human brain tumour diagnosis and treatment. While the decision making needs to rely on different clinical expertise, the HealthAgents system leveraged a domain ontology to align different sub-domain vocabularies and we have experimented with a process calculus to glue together distributed services. We examine the capability of the Lightweight Coordination Calculus (LCC), a process calculus based language, in meeting security challenges in pervasive settings, especially in the healthcare domain. The key difference in approach lies in making the representational abstraction reflect the relative autonomy of the various clinical specialisms involved in contributing to patient management. The scope within LCC of accommodating Boolean-valued constraints allows for flexible integration of heterogeneous sources in multiple formats, which are characteristic features of a pervasive healthcare environment.
机译:实现普及医疗保健的愿景将对系统安全性提出新的挑战。这些挑战从根本上不同于我们在集中式方法以及非临床方案中面临的问题。在本文中,我们回顾了我们在HealthAgents项目中的经验,该项目开发了原型系统,并采用了一种新方法来支持人脑肿瘤诊断和治疗中的数据传输和决策。尽管决策需要依靠不同的临床专业知识,但HealthAgents系统利用领域本体来调整不同的子领域词汇,并且我们已经尝试使用过程演算来将分布式服务粘合在一起。我们研究了轻量级协调演算(LCC)(一种基于过程演算的语言)应对普遍环境中(尤其是医疗保健领域)安全挑战的能力。方法上的主要区别在于使代表抽象反映了有助于患者管理的各种临床专业的相对自主权。 LCC中可容纳布尔值约束的范围允许灵活集成多​​种格式的异构源,这是普遍医疗保健环境的特征。

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