Elis Saarelaid, Rainer Randmaa, Gunnar Piho, Peeter Ross
{"title":"Towards GraphQL-Based Interoperability Between Business Meta-Models and FHIR Resources.","authors":"Elis Saarelaid, Rainer Randmaa, Gunnar Piho, Peeter Ross","doi":"10.3233/SHTI251526","DOIUrl":null,"url":null,"abstract":"<p><p>This paper presents a GraphQL-based solution for achieving interoperability between business meta-models and FHIR resources while reducing query complexity. A GraphQL API is implemented for data retrieval from the meta-model and tested using ChilliCream's Nitro tool. It is integrated with GraphQL Mesh, which maps FHIR R5 resource types to corresponding business meta-models. The Mesh API processes queries or mutations, translates them into GraphQL API calls, and converts the results back into FHIR objects. Testing is conducted using Hive Gateway. Future work includes validating this approach through artificial medical data exchanges.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"332 ","pages":"200-204"},"PeriodicalIF":0.0000,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Studies in health technology and informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/SHTI251526","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents a GraphQL-based solution for achieving interoperability between business meta-models and FHIR resources while reducing query complexity. A GraphQL API is implemented for data retrieval from the meta-model and tested using ChilliCream's Nitro tool. It is integrated with GraphQL Mesh, which maps FHIR R5 resource types to corresponding business meta-models. The Mesh API processes queries or mutations, translates them into GraphQL API calls, and converts the results back into FHIR objects. Testing is conducted using Hive Gateway. Future work includes validating this approach through artificial medical data exchanges.