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Decision Analytics

Built for investigator-initiated studies (IIS) and company sponsored trials.

9+

Integrated modules

4

Analytic layers

1

Grounded AI analyst

The Four Layers of Analytics

Enrollment Forecasting

Predictive Modeling

Per-site Attribution

Cost-aware optimization

The problem it solves

Sites miss enrollment targets and trials slip by months, with no early read on which sites will stall or why. ClinTrialsOMS pinpoints which sites drive the shortfall and what intervention costs — not a single blunt forecast.

Impact

Flags at-risk sties weeks before shortfalls surface in raw enrollment counts.

Site-Portfolio Optimizer

Exact optimization

Probabilistic simulation

Trade-off frontier

The problem it solves

Deciding which sites to open and how to allocate resources often comes down to gut feel, leading to over- and under-provisioning that burns budget. ClinTrialsOMS identifies the provably optimal allocation and calculates its probability of hitting goals despite real-world disruptions.

Impact

Turns portfolio planning into a defensible, numbers-backed decision.

Ready to see ClinTrialsOMS data analysis tools in action?

A 30-minute walkthrough tailored to your trials. No prep required.

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