Jafarpour Maryam, Jouned Adnan, Tassatti Laura Sophia, Katsch Florian, Duftschmid Georg
Center for Medical Data Science, Medical University of Vienna, Vienna, Austria.
Ludwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria.
Stud Health Technol Inform. 2025 Jun 26;328:382-386. doi: 10.3233/SHTI250743.
Interoperability in healthcare information systems is crucial for seamless data exchange. Legacy systems often employ the Entity-Attribute-Value (EAV) model, which poses significant challenges for data standardization and integration with modern frameworks like HL7 Fast Healthcare Interoperability Resources (FHIR). This paper presents an easily reusable open-source implementation of a FHIR façade for EAV-based legacy health information systems based on HAPI FHIR. The proposed methodology separates the mapping logic from the implementation code, allowing for easier maintenance and updates. We demonstrate how this approach addresses key challenges in transforming legacy EAV data to FHIR resources, particularly focusing on the management of multiple source forms and the need for a maintainable solution. Initial results show that the approach is effective, achieving high accuracy in data transformation while maintaining system stability and ease of maintenance.
医疗保健信息系统中的互操作性对于无缝数据交换至关重要。传统系统通常采用实体-属性-值(EAV)模型,这给数据标准化以及与诸如HL7快速医疗保健互操作性资源(FHIR)等现代框架的集成带来了重大挑战。本文提出了一种基于HAPI FHIR的、易于重复使用的开源实现,用于基于EAV的传统健康信息系统的FHIR外观。所提出的方法将映射逻辑与实现代码分离,便于维护和更新。我们展示了这种方法如何应对将传统EAV数据转换为FHIR资源中的关键挑战,尤其侧重于多种源表单的管理以及对可维护解决方案的需求。初步结果表明该方法是有效的,在保持系统稳定性和易于维护的同时,在数据转换中实现了高精度。