Towards GraphQL-Based Interoperability Between Business Meta-Models and FHIR Resources.

Area of Science:

• Health Informatics
• Computer Science
• Data Interoperability

Background:

• Healthcare data exchange faces challenges with interoperability between diverse systems.
• Existing methods for integrating business meta-models with healthcare standards like FHIR can be complex.
• Reducing query complexity is crucial for efficient data retrieval in healthcare.

Purpose of the Study:

• To present a GraphQL-based solution for interoperability between business meta-models and FHIR resources.
• To reduce the complexity of data queries in healthcare information systems.
• To demonstrate a practical implementation and testing of the proposed solution.

Main Methods:

• Development of a GraphQL API for data retrieval from business meta-models.
• Integration with GraphQL Mesh to map FHIR R5 resource types to business meta-models.
• Testing the API using ChilliCream's Nitro tool and the Mesh API with Hive Gateway.

Main Results:

• A functional GraphQL-based system was implemented for meta-model and FHIR resource interoperability.
• The solution successfully translated queries and mutations, converting results into FHIR objects.
• Testing confirmed the feasibility of the approach for data retrieval and transformation.

Conclusions:

• The proposed GraphQL solution effectively achieves interoperability between business meta-models and FHIR resources.
• The approach simplifies data querying and enhances data exchange efficiency in healthcare.
• Further validation with artificial medical data exchanges is planned for future work.