Algorithm Development & Validation
We develop and validate claims-based and EHR/EMR-based algorithms to accurately identify medical conditions and health outcomes for pharmacoepidemiology, epidemiology, comparative effectiveness research, HEOR, health outcomes research, drug safety, and pharmacovigilance. Built using clinically grounded logic and rigorous methodological standards ensuring accuracy, reproducibility, and regulatory readiness.
Algorithm Development: Transparent, Reproducible, Regulatory-Ready
Deliverables: Detailed logic specifications, code lists, and audit-ready documentation for regulatory and HTA submissions.
Our Approach
Clinically informed outcome and phenotype definition
Transparent rule-based and hybrid algorithm design
Use of standardized medical vocabularies and data models
Validation using established metrics (PPV, sensitivity, specificity)
Documentation aligned with regulatory, HTA, and publication expectations
Deliverables
Claims- and EHR-based outcome identification algorithms
Detailed logic specifications and code lists
Validation plans and performance results
Audit-ready documentation for regulatory and HTA submissions
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