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Interoperable, Domain-Specific Extensions for the German Corona Consensus (GECCO) COVID-19 Research Data Set Using an

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Summary
This summary is machine-generated.

The German Corona Consensus (GECCO) developed interoperable data set extensions for COVID-19 research in immunization, pediatrics, and cardiology. This workflow enables standardized, cross-institutional data collection for better pandemic response.

Keywords:
COVID-19FAIR principleFHIRFast Healthcare Interoperability ResourcesSARS-CoV-2cardiologyimmunizationinteroperabilityinteroperablepediatricresearch data setstandard

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Area of Science:

  • Medical Informatics
  • Public Health
  • Epidemiology

Background:

  • The COVID-19 pandemic necessitated large-scale, interinstitutional research.
  • Standardized and interoperable data set definitions are crucial for effective research collaboration.
  • The German Corona Consensus (GECCO) core data set was established for COVID-19 research.

Purpose of the Study:

  • To establish a workflow for developing interoperable data set definitions.
  • To create specialized data set extensions for COVID-19 research in immunization, pediatrics, and cardiology.
  • To ensure content relevance and semantic/syntactic interoperability across systems and institutions.

Main Methods:

  • Developed a collaborative workflow involving medical experts and information scientists.
  • Selected domain-specific data elements for immunization, pediatrics, and cardiology.
  • Mapped data elements to international standards and utilized HL7 FHIR for specifications.
  • Validated profiles and mappings through a two-stage process.

Main Results:

  • Created GECCO extension modules for immunization (48 elements), pediatrics (150 elements), and cardiology (52 elements).
  • Ensured selected data elements align with the specific research needs of each specialty.
  • Published implementation guides, example implementations, and data set annotations for each module.

Conclusions:

  • The GECCO extension modules provide standardized data definitions for key COVID-19 research areas.
  • The developed workflow serves as a blueprint for creating future interoperable data sets.
  • These modules facilitate interinstitutional and cross-country COVID-19 research by harmonizing specialty-specific data.