Adoption of the OMOP CDM for Cancer Research using Real-world Data: Current Status and Opportunities

Area of Science:

• Health Informatics
• Cancer Research
• Observational Data Analysis

Background:

• The Observational Medical Outcomes Partnership (OMOP) common data model (CDM) facilitates large-scale cancer research through distributed network analysis.
• The OHDSI community maintains the OMOP CDM, supporting a growing number of cancer research studies.

Purpose of the Study:

• To comprehensively review the adoption of the OMOP CDM for cancer research.
• To provide insights into leveraging the OMOP CDM ecosystem for advancing cancer research.

Main Methods:

• Literature search of published articles on OMOP CDM and cancer research (January 2010 - December 2023).
• Categorization of studies into clinically focused data analysis and infrastructure development themes.
• Development of a charting form for data extraction and analysis.

Main Results:

• 50 unique articles were included in the review.
• 30 articles focused on data analysis, and 23 on infrastructure development, with 3 overlapping.
• The review maps the scope and topics of existing research within the OMOP CDM cancer research domain.

Conclusions:

• Identified challenges and opportunities in data quality, advanced analytics, NLP for phenotypic data, and multisite evaluation.
• Highlights the current status of research efforts to enhance the OMOP CDM ecosystem for cancer research.
• Provides a foundation for future research directions in leveraging OMOP CDM for cancer studies.