Validation Studies

Ensuring real-world data reflects clinical reality through experienced leadership of validation and chart confirmation studies.

Accurate exposure and outcome definitions are foundational to real-world evidence.

Our team has been at the forefront of validation research for decades, with extensive experience designing and executing studies that ensure exposure and outcome measures are fit for purpose.

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

Our approach ensures that:

  • Chart-confirmed endpoints for regulatory studies: Supporting studies where validated outcomes are required for decision-making

    ▷  Outcome definitions are aligned with study objectives

  • Quantitative bias analysis: Understanding tradeoffs and implications for study interpretation

    ▷  Validation is integrated efficiently within study workflows

    ▷  Results are interpretable and defensible in regulatory settings

Experience in Regulatory Contexts

We have extensive experience incorporating validation into studies designed to inform regulatory decisions, including post-approval safety and effectiveness evaluations.

Highlighted Publications and Study Protocols