Yasini Mobin, Rausch Dennis, Fleming Dougal, Jayaraman Deepthi, Willaert Milan, Varghese Jince Tom, Dahlweid Michael
Dedalus Research Lab, Italy.
Stud Health Technol Inform. 2025 Aug 7;329:2-6. doi: 10.3233/SHTI250790.
Achieving interoperability across healthcare systems is essential for improving healthcare delivery. Medical terminologies such as SNOMED CT, LOINC, and ICD play a pivotal role in standardizing clinical data, yet their integration into complex platforms remains challenging. This study evaluates the implementation of Ontoserver, a clinical terminology server based on HL7 FHIR, within Dedalus's software ecosystem to address these challenges. Technical enhancements, including the deployment of a sidecar FHIR resource server and workflow automation tools, facilitated efficient terminology management. A case study on Dedalus's "Trial for Care" platform highlighted the use of Ontoserver's concept mapping and exploration features to automate the standardization of bespoke codifications. Results showed improved data interoperability, reduced manual effort, enhanced data usability, and streamlined workflow transitions. While challenges such as managing regional standards and optimizing mappings persist, this study underscores the transformative potential of Ontoserver in achieving smarter interoperability and advancing healthcare outcomes.
实现医疗保健系统之间的互操作性对于改善医疗服务至关重要。诸如SNOMED CT、LOINC和ICD等医学术语在临床数据标准化中起着关键作用，然而将它们集成到复杂平台仍然具有挑战性。本研究评估了基于HL7 FHIR的临床术语服务器Ontoserver在Dedalus软件生态系统中的实施情况，以应对这些挑战。技术改进，包括部署边车FHIR资源服务器和工作流自动化工具，促进了高效的术语管理。一项关于Dedalus“护理试验”平台的案例研究突出了Ontoserver的概念映射和探索功能在定制编码标准化自动化方面的应用。结果显示数据互操作性得到改善、人工工作量减少、数据可用性增强以及工作流过渡得到简化。虽然诸如管理区域标准和优化映射等挑战仍然存在，但本研究强调了Ontoserver在实现更智能的互操作性和推进医疗保健成果方面的变革潜力。
