Lessons Learned in Creating Interoperable Fast Healthcare Interoperability Resources Profiles for Large-Scale Public...

Area of Science:

• Health Informatics
• Health Data Standards

Background:

• Family planning and reproductive health programs require robust data for reporting and monitoring.
• Standardized data formats are crucial for interoperability and efficient healthcare delivery.

Purpose of the Study:

• To describe the collaborative development of logical models and HL7 FHIR profiles for family planning and reproductive health.
• To assess the utility of these FHIR profiles for federal reporting and program improvement.

Main Methods:

• Development of organizational frameworks and work processes for creating FHIR profiles.
• Validation of logical models and FHIR profiles using the Family Planning Annual Report 2.0 dataset.
• Testing of artifacts to ensure compliance and usability.

Main Results:

• Successfully created and validated logical models and FHIR profiles for family planning data.
• Demonstrated the feasibility of using clinical element models and FHIR for a real-world use case.
• Identified needs for enhanced tooling, terminology services, and sandbox development.

Conclusions:

• FHIR profiles offer a promising solution to reduce the administrative burden of reporting federally mandated program data.
• The developed FHIR profiles can improve federal reporting, program monitoring, and quality improvement efforts within the National Health Service delivery program.