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.




