Conversion of Sensitive Data to the Observational Medical Outcomes Partnership Common Data Model: Protocol for the Development and Use of Carrot
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Summary
This summary is machine-generated.Carrot software standardizes health data conversion to the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM), enabling privacy-preserving rule creation and reuse for international research. This improves data standardization and research efficiency.
Area Of Science
- Health Informatics
- Data Standards and Interoperability
- Privacy-Preserving Data Analysis
Background
- Low adoption of data standards hinders international health research, necessitating data conversion to common data models like OMOP CDM.
- The Observational Health Care Data Sciences and Informatics (OHDSI) partnership supports OMOP CDM adoption with open-source tools.
- Converting data to OMOP CDM requires specialized skills, creating a capacity challenge for many organizations.
Purpose Of The Study
- To develop Carrot software, a standardized, privacy-by-design tool for health data curation and conversion to OMOP CDM.
- To enable rule creation and reuse across projects, enhancing process standardization and research speed without compromising data quality.
- To facilitate rule development without requiring external access to sensitive patient data, aligning with data protection regulations.
Main Methods
- Agile software development methodology involving software and data engineers.
- Collaboration with OMOP experts to ensure methodological correctness.
- Incremental release program to ensure continuous progress and user feedback integration.
Main Results
- Carrot software successfully deployed on the CO-CONNECT project for federated data discovery.
- Generated over 45,000 data conversion rules, processing over 5 million patient records.
- Demonstrated successful rule reuse, with most rules being reused rather than manually curated, while maintaining data privacy.
Conclusions
- Carrot software effectively complements existing OHDSI tools, particularly in the data mapping phase.
- The CO-CONNECT project validated the successful reuse of rules across diverse datasets.
- The Carrot approach is a valid solution for efficient, standardized, and privacy-preserving health data conversion, with ongoing optimization efforts.
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