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Centralized management of medical big data in Intensive Care Unit: A security analysis

机译:重症监护室医疗大数据的集中管理:安全性分析

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The digital evolution of computing environments has affected the collection and management of medical data. Since there is a constantly growing number of remote sensors and medical systems, which augment the volume of medical data, a new challenge about the management of these big data is created. As the legacy systems in effect do not have the ability to manage this rate of data efficiently, it is of great importance to address this challenge following a different approach. In this particular unit of hospitals, ICU, the usage of complex medical systems in order to provide adequate quality of healthcare services and the velocity of the decision making process, which is performed by intensivists, are critical. To this end, an approach to this problem constitutes the Centralized Management (CM) of medical data in Intensive Care Unit's(ICU) environment. The autoscalling computing environment, which will be orchestrated in the context of operations of the CM will ease tasks, such as the aggregation of medical data by different sources, the performance of analytic functions and it will enhance the intensivists' cognition. Moreover, this type of management leads to security and privacy challenges that should be addressed in order to assemble a highly trusted environment both in technical and functional level. As a result, prior to the adaptation of the CM in ICU, specific security, as well as privacy guidelines, should be determined.
机译:计算环境的数字发展已经影响了医疗数据的收集和管理。由于远程传感器和医疗系统的数量不断增长,这增加了医疗数据的数量,因此,在管理这些大数据方面提出了新的挑战。由于实际上的遗留系统不具备有效管理此数据速率的能力,因此采用不同的方法应对这一挑战非常重要。在这个特殊的医院单位ICU中,使用复杂的医疗系统以提供足够的医疗服务质量以及由专科医生进行的决策过程的速度至关重要。为此,解决此问题的方法构成了重症监护病房(ICU)环境中医疗数据的集中管理(CM)。将在CM的操作环境中进行协调的自动缩放计算环境将简化任务,例如通过不同来源汇总医疗数据,分析功能的性能,并增强对增强主义者的认知。而且,这种类型的管理带来了安全性和隐私挑战,应该解决这些挑战,以便在技术和功能级别上构建高度信任的环境。因此,在对ICU进行CM调整之前,应确定特定的安全性和隐私准则。

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