Comprehensive

Actionable metrics to assess trial performance and risks:

• Cohort Fit: 84%, indicating strong patient-trial alignment.
• Consent Drop-Off: 16%, highlighting recruitment challenges.
• Protocol Deviations: 22%, signaling operational risks.
• Enrollment Velocity: 2.9 patients/site/month, tracking efficiency.
• Enrollment by Site: Target vs. actual across sites (e.g., Site 04 underperforming).
• Trial Risk Forecast: High delay risk (>80% probability).
• Cumulative Consent Drop-Off: Rising to 5 patients by Week 6.
• Budget Burn: Optimized at $395K vs. baseline $500K, saving $105K.

(Dashboard visualizes these metrics, integrating Live Site Intelligence Map, Budget Efficiency Modules, and more.)

• Live Site Intelligence Map: Visualize trial locations, enrollment bottlenecks, and site productivity in real time.
• Patient Journey Analytics: Analyze where, why, and how trials fail—or accelerate—based on patient behavior and protocol fit, using proprietary algorithms.
• Budget Efficiency Modules: Compare actual vs. forecasted spend, assess cost-to-value per cohort, and optimize portfolio costs.
• Deviation & Dropout Forecasting: Predict financial and regulatory risks across protocol violations and consent trends with real-time models.
• Trial Risk Forecast: Quantify delay probabilities and operational flags in real time (e.g., >80% delay risk).
• Savings Insights: View side-by-side cost scenarios with and without ClinicAL™ optimization (e.g., $105K saved).

Technology Stack: Tableau | Power BI | Salesforce Embedded | Snowflake | Databricks | AWS