Ayuningtyas Nindya Widita, Mufidah Pralampita Kori, Yusuf Saldi, Sitompul Taufiq, Susanti Marlina Indah
Institute of Health Informatics, University College London, United Kingdom.
Department of Biostatistics and Population Studies, Universitas Indonesia, Indonesia.
Stud Health Technol Inform. 2025 Aug 7;329:83-87. doi: 10.3233/SHTI250806.
Achieving semantic interoperability using terminology standards is essential to ensure consistent meaning of data while it is being exchanged. This study examines the adoption of international and local health terminology standards in Indonesia's national health information exchange (HIE) platform called SATUSEHAT. The platform uses SNOMED CT, LOINC, ICD-10, and ICD-9 CM, alongside local terminology standards. Analysis across five use cases using published interoperability implementation guides reveals SNOMED CT domination in clinical data, LOINC for laboratory data, and significant adoption of local terminology standards. These findings underline the challenge of local context adaptation while using the international terminology standards. Future study using real-world data in SATUSEHAT platform is essential to understand the level of adoption and interoperability in Indonesia.
使用术语标准实现语义互操作性对于确保数据在交换时含义一致至关重要。本研究考察了印度尼西亚名为SATUSEHAT的国家卫生信息交换（HIE）平台对国际和本地卫生术语标准的采用情况。该平台使用了SNOMED CT、LOINC、ICD - 10和ICD - 9 CM以及本地术语标准。通过使用已发布的互操作性实施指南对五个用例进行分析发现，SNOMED CT在临床数据中占主导地位，LOINC用于实验室数据，并且本地术语标准得到了大量采用。这些发现凸显了在使用国际术语标准时适应本地情况的挑战。未来对SATUSEHAT平台使用真实世界数据进行研究对于了解印度尼西亚的采用水平和互操作性至关重要。
