Case studies

Synthetic Health Data for Pharma Collaboration

HealthcareGovernance & ComplianceAI Solution Engineering

Research collaboration with Merck and Pfizer made possible.

Synthetic cohorts with zero re-identification risk.

Synthetic Health Data for Pharma Collaboration

Challenge

Research collaboration with Merck and Pfizer made possible on data that could not otherwise have left the province. Synthetic cohorts preserving distributions, correlations, and edge cases with zero re-identification risk.

What we built

We generated synthetic cohorts that preserved the distributions, correlations, and edge cases an external research partner needs to build and validate against - without containing any person who could be re-identified. Utility validation confirmed the synthetic data was analytically equivalent to the real data for the specific research purposes.

The model

Synthetic Health Data for Pharma Collaboration model diagram

Outcome

Research collaboration with Merck and Pfizer made possible.

Client details and delivery specifics are confidential. References available on request.

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