Advanced Features
Explore advanced capabilities in Prognosis: cohorts, real-time data integration, cost analysis, and more.
Overview
Beyond basic trial forecasting, Prognosis offers advanced features that help you manage complex trial designs and integrate real-world data. This guide covers these powerful capabilities.
Cohort Management
Cohorts allow you to manage distinct patient groups within a single trial, each with its own enrollment window and patient targets.
When to Use Cohorts
Cohorts are valuable for:
- Dose escalation studies — Different groups receiving escalating doses
- Expansion cohorts — Adding patient populations based on interim results
- Adaptive designs — Trials where enrollment strategy may change
- Staggered enrollment — Sequential enrollment of different patient groups
How Cohorts Work
Each cohort represents a distinct group of patients with:
- Defined enrollment window — Start and end dates specific to this cohort
- Patient target — Number of patients to enroll in this cohort
- Treatment assignment — Which treatment arm(s) the cohort follows
- Country allocation — Which countries participate in this cohort
Cohort Forecasting
When cohorts are enabled, Prognosis:
- Calculates demand for each cohort separately
- Uses cohort-specific enrollment windows (not trial-level dates)
- Aggregates demand across all cohorts for production planning
- Tracks cohort status (Planned, Active, Completed) automatically
Example: Dose Escalation Study
A typical Phase 1 dose escalation might have:
| Cohort | Dose Level | Patients | Start | End |
|---|---|---|---|---|
| Cohort 1 | 10mg | 6 | Jan 2025 | Mar 2025 |
| Cohort 2 | 25mg | 6 | Apr 2025 | Jun 2025 |
| Cohort 3 | 50mg | 12 | Jul 2025 | Oct 2025 |
| Expansion | 50mg | 24 | Nov 2025 | Mar 2026 |
Prognosis will forecast kit demand for each cohort based on its specific timeline, then aggregate for production planning.
Real-Time Data Integration
For in-progress trials, Prognosis can incorporate actual enrollment and inventory data to provide more accurate forecasts.
Real-Time Recruitment
When you enter actual enrollment data:
What You Provide:
- Date of enrollment
- Country
- Number of patients enrolled
- Number of patients screened (optional)
What Prognosis Does:
- Locks in confirmed enrollment for past dates
- Subtracts confirmed patients from remaining targets
- Redistributes projected enrollment over remaining time
- Recalculates demand based on hybrid actual + projected data
Trial Inventory Tracking
Track actual inventory levels across your depot network:
What You Provide:
- Depot location
- Kit type
- Quantity on hand
- Receipt dates
- Expiry dates
What Prognosis Does:
- Uses actual inventory as starting point for projections
- Calculates consumption against real stock levels
- Identifies true supply gaps (not just projected)
- Adjusts production recommendations based on current state
Benefits of Real-Time Data
| Aspect | Planning Mode | Real-Time Mode |
|---|---|---|
| Enrollment | Projected using curves | Actual + projected hybrid |
| Inventory | Based on planned receipts | Based on actual stock |
| Accuracy | Good for initial planning | Refined as trial progresses |
| Risk Assessment | Based on assumptions | Based on reality |
Best Practices for Real-Time Data
- Update regularly — Enter actuals weekly or bi-weekly
- Stay current — Don't let data lag more than 2 weeks behind
- Complete data — Include all enrollment events and inventory receipts
- Verify accuracy — Double-check data entry before generating forecasts
Cost Analysis
Prognosis can estimate trial supply costs based on kit consumption and configured costs.
Setting Up Cost Analysis
- In the Kits step of the wizard, enter cost per kit
- Select the appropriate currency
- Complete the wizard to generate cost projections
What You Get
Cost by Kit Type:
- Total cost for each kit type across the trial
- Cost breakdown by treatment arm
Cost by Country:
- Supply costs allocated to each country
- Based on where kits are consumed
Cost by Time Period:
- Monthly cost projections
- Quarterly rollups
- Annual summaries
Using Cost Projections
Cost analysis helps with:
- Budget planning — Estimate supply chain costs
- Scenario comparison — Compare costs across different strategies
- Financial reporting — Support budget discussions with data
- Optimization — Identify opportunities to reduce costs
Custom Lot Configurations
Pre-schedule specific manufacturing runs or incorporate existing inventory.
When to Use Custom Lots
- Planned production — You've already scheduled manufacturing slots
- Existing inventory — Stock from a previous trial or procurement
- Fixed batches — Contract manufacturing with pre-defined quantities
Configuring Custom Lots
For each custom lot, specify:
| Field | Description |
|---|---|
| Kit Type | Which kit this lot produces |
| Quantity | Number of kits in the batch |
| Production Date | When manufacturing occurs |
| Expiry Date | When kits expire |
| Target Depot | Where kits will be delivered |
How Custom Lots Affect Forecasts
- Custom lots are treated as fixed supply
- Prognosis deducts custom lot quantities from demand
- Recommended production covers only the remaining gap
- Risk assessment accounts for custom lot timing and expiry
Titration Support
For protocols where patients transition between doses, Prognosis supports titration modeling.
What is Titration?
Titration occurs when patients:
- Start at one dose and escalate to higher doses
- Move between dose levels based on response
- Follow different dosing based on tolerability
Modeling Titration
When titrations are enabled:
- Define the titration rules (which cohorts patients can move between)
- Specify the proportion of patients expected to titrate
- Prognosis calculates kit demand accounting for dose transitions
Advanced Recruitment Patterns
Beyond standard linear and bell curve enrollment, Prognosis supports sophisticated recruitment modeling.
Monthly Recruitment Targets
Define specific enrollment targets for each month:
| Month | Target Patients |
|---|---|
| Month 1 | 5 |
| Month 2 | 10 |
| Month 3 | 15 |
| Month 4 | 15 |
| Month 5 | 10 |
| Month 6 | 5 |
This provides precise control when you have detailed enrollment plans or historical data.
Bell Curve Variations
Choose from multiple bell curve profiles:
- Standard — Symmetric ramp-up and ramp-down
- Fast — Quick ramp-up, longer ramp-down
- Slow — Gradual ramp-up, quick ramp-down
Screen Failure Adjustment
Account for patients who are screened but don't enroll:
- Set screen failure percentage per country
- Prognosis calculates total screens needed to achieve enrollment targets
- Useful for planning screening kit quantities
Multi-Country Supply Strategies
Optimize supply across complex global trials.
Direct-to-Site vs. Local Depot
For each country, choose:
- Direct to Site — Kits ship directly from central depot to sites
- Via Local Depot — Kits route through a regional depot
Lead Time Optimization
Prognosis calculates optimal production timing by:
- Finding the longest lead time path in your network
- Working backwards from demand dates
- Recommending production start dates that ensure on-time delivery
Country-Specific Overage
Set different safety stock levels by country:
- Higher overage for countries with supply chain challenges
- Lower overage for nearby, reliable supply routes
Data Export and Reporting
Export Options
Export analytics data for offline use:
- PDF Reports — Formatted for stakeholder presentations
- Excel/CSV — Detailed data for custom analysis
What's Included
Exports include:
- Trial configuration summary
- Demand projections by month, country, and kit
- Production recommendations
- Risk assessment details
- Cost analysis (if configured)
Integration Capabilities
For organizations needing deeper integration:
- API access for programmatic data retrieval
- IRT system integration (coming soon)
- Custom reporting solutions
Contact us for enterprise integration options.
Getting Help
In-App Guidance
- Information icons (ⓘ) — Hover for explanations of metrics and fields
- Validation messages — Guidance when inputs need attention
- Contextual help — Tips throughout the wizard
Support
For questions or assistance:
- Contact your Prognosis account representative
- Email support@useprognosis.com
- Visit our help center for FAQs and tutorials
Feature Requests
Have ideas for new capabilities? We'd love to hear from you:
- Submit feature requests through your account representative
- Provide feedback directly in the platform
- Join our user advisory program for early access to new features
Summary
Prognosis grows with your needs—from simple trial forecasts to complex multi-cohort studies with real-time data integration. These advanced features help you:
- Manage complex trial designs with cohorts and titration
- Improve forecast accuracy with real-time actuals
- Plan budgets with cost analysis
- Optimize supply strategy with flexible lot configurations
- Handle global trials with sophisticated distribution modeling
Explore these features as your forecasting needs evolve, and don't hesitate to reach out if you need guidance on applying them to your specific situation.
