Graduate Program in Mechatronics, Federal University of Bahia (UFBA), Salvador, Bahia, 40170-110, Brazil.
J Med Syst. 2018 May 30;42(7):122. doi: 10.1007/s10916-018-0979-5.
Health Level Seven (HL7) is one of the standards most used to centralize data from different vital sign monitoring systems. This solution significantly limits the data available for historical analysis, because it typically uses databases that are not effective in storing large volumes of data. In industry, a specific Big Data Historian, known as a Process Information Management System (PIMS), solves this problem. This work proposes the same solution to overcome the restriction on storing vital sign data. The PIMS needs a compatible communication standard to allow storing, and the one most commonly used is the OLE for Process Control (OPC). This paper presents a HL7-OPC Server that permits communication between vital sign monitoring systems with PIMS, thus allowing the storage of long historical series of vital signs. In addition, it carries out a review about local and cloud-based Big Medical Data researches, followed by an analysis of the PIMS in a Health IT Environment. Then it shows the architecture of HL7 and OPC Standards. Finally, it shows the HL7-OPC Server and a sequence of tests that proved its full operation and performance.
健康层级 7(HL7)是用于集中来自不同生命体征监测系统的数据的标准之一。该解决方案极大地限制了可用于历史分析的数据,因为它通常使用在存储大量数据方面效率不高的数据库。在工业领域,一种名为“过程信息管理系统(PIMS)”的特定大数据历史记录器可解决此问题。这项工作提出了相同的解决方案来克服存储生命体征数据的限制。PIMS 需要兼容的通信标准来允许存储,最常用的标准是用于过程控制的对象链接和嵌入(OLE for Process Control,OPC)。本文提出了一个 HL7-OPC 服务器,它允许生命体征监测系统与 PIMS 进行通信,从而允许存储生命体征的长历史序列。此外,它还对本地和基于云的大型医疗数据研究进行了综述,随后对健康信息技术环境中的 PIMS 进行了分析。然后展示了 HL7 和 OPC 标准的架构。最后,展示了 HL7-OPC 服务器和一系列测试,这些测试证明了其完全运行和性能。