Our Approach
We design validation studies tailored to the research question, data source, and decision context. Our work emphasizes both scientific rigor and practical implementation within real-world data environments.
We conduct validation studies to support:
- Diagnostic, procedure, and medication code and algorithm validation: Assessing the performance of claims and EHR based definitions
- Algorithm development and refinement: Designing and iterating algorithms for specific outcomes
- Medical record abstraction and adjudication: Structured chart review to establish gold-standard outcomes
- Chart-confirmed endpoints for regulatory studies: Supporting studies where validated outcomes are required for decision-making
- Quantitative bias analysis: Understanding tradeoffs and implications for study interpretation
Our approach ensures that:
- Outcome definitions are aligned with study objectives
- Validation is integrated efficiently within study workflows
- Results are interpretable and defensible in regulatory settings
