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PACS and Electronic Health Records

机译:PACS和电子健康记录

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摘要

Electronic Health Record (EHR) is a major component of the health informatics domain. An important part of the EHR is the medical images obtained over a patient's lifetime and stored in diverse PACS. The vision presented in this paper is that future medical information systems will convert data from various medical sources - including diverse modalities, PACS, HIS, CIS, RIS, and proprietary systems - to HL7 standard XML documents. Then, the various documents are indexed and compiled to EHRs, upon which complex queries can be posed. We describe the conversion of data retrieved from PACS systems through DICOM to HL7 standard XML documents. This enables the EHR system to answer queries such as "Get all chest images of patients at the age of 20-30, that have blood type 'A' and are allergic to pine trees", which a single PACS cannot answer. The integration of data from multiple sources makes our approach capable of delivering such answers. It enables the correlation of medical, demographic, clinical, and even genetic information. In addition, by fully indexing all the tagged data in DICOM objects, it becomes possible to offer access to huge amounts of valuable data, which can be better exploited in the specific radiology domain.
机译:电子健康记录(EHR)是健康信息学领域的主要组成部分。 EHR的重要部分是在患者一生中获得的医学图像,并存储在各种PACS中。本文提出的愿景是,未来的医学信息系统会将来自各种医学来源的数据转换为HL7标准XML文档,这些数据包括多种模式,PACS,HIS,CIS,RIS和专有系统。然后,将各种文档编入索引并编译到EHR,然后在这些文档上进行复杂的查询。我们描述了通过DICOM从PACS系统检索的数据到HL7标准XML文档的转换。这使EHR系统能够回答诸如“获得20-30岁,血液类型为'A'且对松树过敏的患者的所有胸部图像”之类的查询,而单个PACS无法回答。来自多个来源的数据集成使我们的方法能够提供此类答案。它可以使医学,人口统计,临床甚至遗传信息相互关联。另外,通过在DICOM对象中完全索引所有标记的数据,可以提供对大量有价值数据的访问,这可以在特定放射学领域得到更好的利用。

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