Interoperability of population-based patient registries

Area of Science:

• Health Informatics
• Data Science
• Cancer Registries

Background:

• Population-based patient registries hold valuable health data for secondary use.
• Previous attempts at patient registry interoperability have yielded limited success, lacking a unified solution.

Purpose of the Study:

• To demonstrate a practical solution for patient registry interoperability using a federated, semantic metadata registry framework.
• To showcase the gradual and independent implementation of this framework across different registry domains.

Main Methods:

• Implementation of an existing framework based on federated, semantic metadata registries.
• Extension of the ISO/IEC 11179 standard using linked open data principles.
• Development of automated extraction scripts for data retrieval from diverse registry content models.

Main Results:

• Demonstrated feasibility using European population-based cancer registries.
• Achieved quick gains through retrieval of aggregated core datasets.
• Showcased retrieval of aggregated full datasets and record-level data from local registries.

Conclusions:

• The proposed framework provides syntactic and semantic interoperability for patient registry data.
• It enables automated search, retrieval, and linkage of data across registries.
• Lays the foundation for utilizing registry data in artificial intelligence (AI) applications.