国家联邦卫生研究基础设施HL7基于fhir的术语服务的实现。

Joshua Wiedekopf, Tessa Ohlsen, Alan Koops, Ann-Kristin Kock-Schoppenhauer, Muhammad Adnan, Sarah Ballout, Nele Philipzik, Oya Beyan, Andreas Beyer, Michael Marschollek, Josef Ingenerf
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引用次数: 0

摘要

简介:作为德国医学信息学倡议(MII)和网络大学医学(NUM)的一部分,中央研究术语服务(TS)由服务单位术语服务(SU-TermServ)提供。这种基于HL7 FHIR的服务依赖于FHIR术语资源的及时和全面可用性,从而为分布式MII/NUM基础设施提供必要的交互。虽然德国立法机构最近设立了医疗分类和术语的国家术语服务机构,但MII和NUM的范围超出了常规的病人护理,包括补充或专门服务的需要以及在其他地方不常用的术语。方法:SU-TermServ的流程基于已建立的FHIR原则和最近提出的规范资源管理基础设施实施指南,本文对此进行了概述。结果:在项目中实施的策略和流程可以以透明和一致的方式向中央FHIR术语服务以及本地数据集成中心提供所需的资源。该服务目前通过标准化的FHIR API为用户提供了大约7000个资源。结论:这些术语资源的专业化分布和维护以及提供强大的TS实现有助于核心数据集和数据集成中心的发展,并最终帮助生物医学研究人员访问这些丰富的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation of HL7 FHIR-Based Terminology Services for a National Federated Health Research Infrastructure.

Introduction: As part of the German Medical Informatics Initiative (MII) and Network University Medicine (NUM), a central research terminology service (TS) is provided by the Service Unit Terminology Services (SU-TermServ). This HL7 FHIR-based service depends on the timely and comprehensive availability of FHIR terminology resources to provide the necessary interactions for the distributed MII/NUM infrastructure. While German legislation has recently instituted a national terminology service for medical classifications and terminologies, the scope of the MII and NUM extends beyond routine patient care, encompassing the need for supplementary or specialized services and terminologies that are not commonly utilized elsewhere.

Methods: The SU-TermServ's processes are based on established FHIR principles and the recently-proposed Canonical Resources Management Infrastructure Implementation Guide, which are outlined in this paper.

Results: The strategy and processes implemented within the project can deliver the needed resources both to the central FHIR terminology service, but also to the local data integration centers, in a transparent and consistent fashion. The service currently provides approximately 7000 resources to users via the standardized FHIR API.

Conclusion: The professionalized distribution and maintenance of these terminological resources and the provision of a powerful TS implementation aids both the development of the Core Data Set and the data integration centers, and ultimately biomedical researchers requesting access to this rich data.

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