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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.