Converting ODM Metadata to FHIR Questionnaire Resources

Area of Science:

• Health Informatics
• Clinical Data Management
• Interoperability Standards

Background:

• Increasing need for system interoperability and cross-domain data sharing in healthcare.
• Existing medical data models portal offers over 5,300 UMLS annotated forms in CDISC ODM format.
• Limited direct compatibility of existing forms with modern healthcare applications.

Purpose of the Study:

• To enhance the interoperability of clinical data forms.
• To enable seamless data sharing between different healthcare systems and applications.
• To facilitate the integration of existing data models with the Health Level Seven Fast Healthcare Interoperability Resources (FHIR) framework.

Main Methods:

• Analysis of Clinical Data Interchange Standards Consortium (CDISC) Operational Data Model (ODM) and HL7 FHIR Questionnaire resource.
• Development of a mapping between CDISC ODM elements and FHIR Questionnaire elements.
• Implementation of a converter to translate CDISC ODM forms into FHIR Questionnaire format.
• Integration of the converter into the medical-data-models.org portal with XML and JSON download options.

Main Results:

• A functional converter enabling transformation of CDISC ODM forms to FHIR Questionnaire resources.
• Successful integration of the converter into the medical-data-models.org portal.
• Availability of over 5,300 forms in FHIR Questionnaire XML or JSON format for download.
• Expanded usability of the portal's form library for new FHIR applications.

Conclusions:

• The developed converter significantly improves the interoperability of clinical data forms.
• The integration facilitates the use of a large repository of forms within FHIR-based applications.
• This advancement supports broader data sharing and integration in the healthcare domain.