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Enabling Ubiquitous Patient Monitoring: Model, Decision Protocols, Opportunities And Challenges

机译:启用无处不在的患者监视:模型,决策协议,机遇和挑战

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Healthcare costs in the US are approximately 15% of GNP and are anticipated to reach 17% of GNP in the near future. Management of chronic diseases via technology based ubiquitous patient monitoring services has been widely proposed as a viable option for economizing healthcare resources, and providing efficient, quality healthcare. The process of ubiquitous patient monitoring is information intensive, the information generated is not only fragmented but also spans multiple processes, artifacts, parameters, and decision criteria. The current study explores the complexities associated with the process of ubiquitous patient monitoring and the enabling technologies. The key contribution is a framework that captures the complex processes, the parameters involved, and the decision criteria for ubiquitous patient monitoring. The decision protocols and enabling technologies supporting the processes are detailed in the study along with the opportunities and challenges of ubiquitous patient monitoring. A conceptual model of ubiquitous patient monitoring is developed by leveraging the proposed framework and is validated by a usage scenario. Finally, the implications of future research and contributions of the current research are discussed.
机译:美国的医疗保健费用约占国民生产总值的15%,预计在不久的将来将达到国民生产总值的17%。通过基于技术的无处不在的患者监测服务来管理慢性病已被广泛提议为节省医疗资源,提供高效,高质量医疗的可行选择。无处不在的患者监视过程是信息密集型的,生成的信息不仅是零散的,而且还跨越多个过程,工件,参数和决策标准。当前的研究探讨了与无处不在的患者监测和支持技术相关的复杂性。关键的贡献是一个框架,该框架捕获了复杂的过程,所涉及的参数以及无处不在的患者监视的决策标准。研究中详细介绍了支持流程的决策协议和支持技术,以及无处不在的患者监控的机遇和挑战。通过利用提出的框架来开发无处不在的患者监视的概念模型,并通过使用场景进行验证。最后,讨论了未来研究的意义和当前研究的贡献。

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