One post tagged with "announcement"

Pinned Post | Originally published March 7, 2026

Outcomes research has evolved alongside the broader arc of healthcare analytics infrastructure. Early siloed clinical systems produced fragmented administrative and claims data with limited analytic utility — adequate for billing, but structurally unsuitable for longitudinal cohort construction or comparative effectiveness work. The meaningful use era expanded the availability of structured clinical data, yet interoperability failures meant that patient journeys remained fractured across institutional boundaries, undermining the real-world evidence studies that outcomes researchers depend on. The shift to integrated analytics platforms — particularly the adoption of common data models like OMOP/OHDSI — marked a genuine inflection point: federated network studies, standardized phenotyping, and reproducible retrospective analyses became operationally feasible at scale. Now a fourth generation is taking shape, one in which AI-augmented clinical intelligence moves outcomes research from retrospective description toward prospective, near-real-time evidence generation — enabling dynamic cohort surveillance, treatment heterogeneity detection, and value-based care signal identification that was previously impractical outside of narrow clinical trial settings.

Parthenon is built for this fourth generation.