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ClinOps Optimizer

Data-driven site selection and trial optimization using causal machine learning to predict patient outcomes and maximize enrollment efficiency.

Solution by PhaseV Trials
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Overview

ClinOps Optimizer, developed by PhaseV, is a clinical operations platform designed for sponsors and clinical trial teams seeking to move beyond traditional feasibility and site selection approaches. By embedding causal machine learning and optimization at the core of its functionality, PhaseV delivers a deeper layer of intelligence than conventional tools — modelling not just what has happened at a site, but why, and how patient-level characteristics drive trial outcomes.

The platform is built for organizations running complex clinical trials who need smarter site selection, real-time operational visibility, and advanced analytics capabilities — including support for open-label studies and trials with limited control arms.

Smarter Site Selection and Feasibility

  • Goes beyond surface-level metrics and historical performance data to model the underlying causes of site performance.
  • Assesses how each site's unique patient makeup — including age, BMI, ethnicity, genomics, and comorbidities — impacts trial outcomes.
  • Predicts the impact of patient heterogeneity on overall trial success.
  • Maximizes patient diversity and representation across selected sites.
  • Identifies sites that are aligned with the drug's mechanism of action.
  • Helps sponsors avoid congested or chronically underperforming sites.
  • Supports scenario planning to optimize trial footprint, timelines, and data quality.

Clinical Trials Dashboard and Real-Time Insights

  • Provides a dedicated clinical trials dashboard delivering real-time insights into enrollment, patient progression, and dropout rates.
  • In open-label trials, treats every patient as an opportunity for interim-like analysis, enabling continuous learning throughout the study.
  • Sponsors can leverage virtual control arms to enable more robust comparisons in studies where traditional control groups are absent or limited.

Advanced Analytics and Trial Execution

  • Integrates causal inference, real-time signals, and predictive analytics to go beyond traditional forecasting tools.
  • Supports virtual control arms for studies with limited or no control groups, enabling thorough comparative analyses and maximising the value of every data point.
  • Focuses on maximising data value and operational efficiency throughout trial execution, not just at the planning stage.

PhaseV is headquartered in Cambridge, MA, and offers ClinOps Optimizer via a demo-based engagement model with no obligations. The platform is positioned as a comprehensive alternative to legacy feasibility and site selection tools, combining the foundational capabilities sponsors expect with a causal analytics layer that drives more informed, outcome-focused decision-making across the clinical operations lifecycle.

Meta

Domain
Clinical Trial Management
Subdomain
Clinical Data Review & Monitoring
Software type(s)
Analytical Platform
Deployment type(s)
Cloud / SaaS
Industry vertical(s)
PharmaBiotechCRO
Development stage(s)
Clinical
Target user(s)
Research ScientistBioinformatician / Computational ScientistClinical / Diagnostic Professional
Tag(s)
Uses AI