In the past decade, the healthcare industry has made significant advances in the digitization of patient information. However, a lack of interoperability among healthcare systems still imposes a high cost to patients, hospitals, and insurers. Currently, most systems pass messages using idiosyncratic messaging standards that require specialized knowledge to interpret. This increases the cost of systems integration and often puts more advanced uses of data out of reach. In this project, we demonstrate how two open standards, FHIR and RDF, can be combined both to integrate data from disparate sources in real-time and make that data queryable and susceptible to automated inference. To validate the effectiveness of the semantic engine, we perform simulations of real-time data feeds and demonstrate how they can be combined and used by client-side applications with no knowledge of the underlying sources.
翻译:过去十年来,保健行业在病人信息数字化方面取得了显著进步,然而,保健系统之间缺乏互操作性,仍给病人、医院和保险人带来高昂的费用。目前,大多数系统使用需要专门知识解释的特殊信息标准传递信息。这增加了系统整合的成本,并往往使数据更先进的使用无法达到。在这个项目中,我们展示了两种开放标准,即FHIR和RDF, 如何可以合并,将来自不同来源的数据实时整合在一起,使数据可以查询,并易于自动推断。为了验证语义引擎的有效性,我们模拟实时数据输入,并演示用户应用程序如何将其合并和使用,而不知道其基本来源。