GECKO Institute, Heilbronn University of Applied Sciences, Germany.
Department Medical Information Systems, Heidelberg University Hospital, Germany.
Stud Health Technol Inform. 2021 May 24;278:126-133. doi: 10.3233/SHTI210060.
Several standards and frameworks have been described in existing literature and technical manuals that contribute to solving the interoperability problem. Their data models usually focus on clinical data and only support healthcare delivery processes. Research processes including cross organizational cohort size estimation, approvals and reviews of research proposals, consent checks, record linkage and pseudonymization need to be supported within the HiGHmed medical informatics consortium. The open source HiGHmed Data Sharing Framework implements a distributed business process engine for executing arbitrary biomedical research and healthcare processes modeled and executed using BPMN 2.0 while exchanging information using FHIR R4 resources. The proposed reference implementation is currently being rolled out to eight university hospitals in Germany as well as a trusted third party and available open source under the Apache 2.0 license.
现有文献和技术手册中描述了一些标准和框架，有助于解决互操作性问题。它们的数据模型通常侧重于临床数据，仅支持医疗保健提供流程。HiGHmed 医学信息学联盟需要支持包括跨组织队列规模估计、研究提案的审批和审查、同意检查、记录链接和假名化在内的研究流程。开源 HiGHmed 数据共享框架实现了一个分布式业务流程引擎，用于执行使用 BPMN 2.0 建模和执行的任意生物医学研究和医疗保健流程，同时使用 FHIR R4 资源交换信息。所提出的参考实现目前正在德国的八所大学医院以及一个可信的第三方以及根据 Apache 2.0 许可证提供的开源软件中推出。
