OMOP-on-FHIR: Integrating the Clinical Data Through FHIR Bundle to OMOP CDM

Area of Science:

• Health Informatics
• Clinical Research Data Standards
• Interoperability in Healthcare

Background:

• Healthcare data exists in diverse, often incompatible formats.
• Lack of standardization hinders efficient clinical research and data analysis.
• The Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) and HL7 FHIR are leading healthcare data standards.

Purpose of the Study:

• To harmonize the OMOP CDM with HL7 FHIR for enhanced clinical research interoperability.
• To establish a standardized method for transforming FHIR resources into OMOP CDM format.
• To facilitate real-time clinical data exchange and semantic consistency across systems.

Main Methods:

• Leveraging FHIR Bundles for real-time clinical data exchange.
• Implementing an Extract, Transform, Load (ETL) process to convert FHIR data to OMOP CDM format.
• Utilizing tools like XSLT for data transformation and maintaining semantic consistency.

Main Results:

• Successful harmonization of OMOP CDM and HL7 FHIR standards.
• Enabled seamless data flow between clinical systems and research databases.
• Established a standardized approach for data management and analysis.

Conclusions:

• The OMOP-on-FHIR methodology significantly enhances data interoperability for clinical research.
• This approach supports global health studies, advanced analytics, and personalized medicine.
• It advances cross-border research by standardizing data management and improving healthcare outcomes.