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Built with precision for clinical trial professionals

SOC 2 Type II
Prognosis
Documentation
Back to Documentation
  • Demand Analytics
  • Supply & Demand Analysis
  • How Demand Forecasting Works
  • Analytics Tabs
  • Monte Carlo Simulation
Back to Documentation
  • Demand Analytics
  • Supply & Demand Analysis
  • How Demand Forecasting Works
  • Analytics Tabs
  • Monte Carlo Simulation

Demand Analytics

Understanding your clinical trial forecast: patient demand, production planning, inventory, risk assessment, and cost analysis.

Overview

After completing the trial wizard, Prognosis generates comprehensive analytics to help you plan and manage your supply chain. This guide explains each analytics view and how to use the insights for decision-making.

For details on individual tabs, see Supply & Demand Analysis and Analytics Tabs.

Tip: Hover over the information icons throughout the analytics dashboards for detailed explanations of each metric.


Summary Dashboard

The Summary view provides a high-level overview of your trial's supply requirements.

Summary

Key Metrics

MetricDescription
Total PatientsTotal patients across all countries and treatment arms
Total Kits RequiredAggregate kit demand for the entire trial
Production RunsNumber of recommended manufacturing batches
CountriesNumber of countries in the trial
Trial DurationTime from first patient in to last patient visit

Quick Insights

The summary dashboard highlights:

  • Demand peaks -- Months with highest kit requirements
  • Critical timelines -- Key dates for production and shipping
  • Overall risk status -- High-level indicator of supply health

Production Planning

The Production view shows recommended manufacturing runs to meet forecasted demand.

Production

Fixed Lot Configurations

If you entered pre-planned lots in the wizard, they appear at the top:

  • Lot ID -- Your reference for the planned batch
  • Kit Type -- Which kit is being produced
  • Quantity -- Number of kits in the batch
  • Production Date -- When manufacturing begins
  • Arrival Date -- When kits reach the depot

Recommended Lot Configurations

Below your fixed lots, Prognosis recommends additional production runs:

FieldDescription
Recommended Start DateWhen production should begin
Recommended QuantityNumber of kits to produce
Target Arrival DateWhen kits need to arrive at depot
Supply WindowThe demand period this run covers

Understanding Recommendations

Prognosis calculates production recommendations by:

  1. Projecting demand -- When will patients need kits?
  2. Working backwards -- Accounting for shipping and production lead times
  3. Considering constraints -- Shelf life, depot network, existing inventory
  4. Optimizing timing -- Balancing production efficiency with supply security

Production Timeline

The visual timeline shows:

  • When each production run should start
  • Shipping periods to each destination
  • When kits arrive and become available
  • Expiry dates for each batch

Sites

The Sites view breaks down requirements by clinical site.

Sites

Site Breakdown

For each country, see:

  • Number of Sites -- Clinical sites participating
  • Patients per Site -- Average enrollment per site
  • Kits per Site -- Kit requirements by site

Site Seeding

The Sites view shows initial inventory requirements:

  • Seed Quantity per Site -- Kits needed before first patient
  • Total Seeding -- Aggregate seeding across all sites
  • Seeding Replenishment -- When seed stock needs refreshing due to expiry

Patients

The Patients view details enrollment projections by country and treatment arm.

Patients

Country-Level View

For each country:

MetricDescription
First Patient InEnrollment start date
Last Patient InEnrollment end date
Total PatientsTarget enrollment
By Treatment ArmPatient distribution across arms

Enrollment Curve

The visual enrollment chart shows:

  • Projected enrollment -- How patients accumulate over time
  • Monthly breakdown -- New patients enrolling each month
  • Cumulative total -- Running total of enrolled patients

For In-Progress Trials

If you have entered actual enrollment data:

  • Actual enrollment -- Confirmed patient numbers (solid line)
  • Projected enrollment -- Forecast for remaining patients (dashed line)
  • Variance -- Difference between actual and originally projected

Country Analysis

The Country Analysis view provides detailed inventory projections for each country and depot.

Depot Inventory

For each depot in your network:

  • Starting Inventory -- Initial stock levels
  • Receipts -- Incoming shipments by date
  • Consumption -- Kit usage over time
  • Ending Inventory -- Projected stock at period end

Country Demand

For each country:

  • Monthly Demand -- Kit requirements by month
  • Supply Source -- Which depot supplies this country
  • Lead Time -- Shipping time from source depot

Inventory

The Inventory view shows stock level projections across your entire depot network.

Inventory Chart

The visual chart displays:

  • Stock levels -- Inventory at each depot over time
  • Reorder points -- When new production should arrive
  • Depletion curves -- How inventory is consumed
  • Replenishment -- When and how stock is replenished

Key Indicators

IndicatorMeaning
HealthyAdequate stock to meet demand
WatchInventory approaching minimum levels
CriticalRisk of stockout without intervention

Lead Times

The Lead Times view visualizes the supply chain timeline for each production run.

Lead Times

Timeline Components

For each production run, see:

  • Production Start -- When manufacturing begins
  • Production End -- When kits are ready for release
  • Shipping Start -- When kits leave the depot
  • Country Arrival -- When kits arrive at each destination

Country-Specific Lead Times

The view breaks down lead times for each country:

  • Central to Local Depot -- Time for inter-depot transfer
  • Local Depot to Sites -- Time to reach clinical sites
  • Total Lead Time -- End-to-end time from production to availability

Risk Assessment

The Risk view identifies potential supply shortfalls and their causes.

Risk Categories

Prognosis categorizes supply risks by root cause:

Risk TypeDescription
Timing RiskSupply won't arrive in time to meet demand
Depletion RiskEarlier consumption exhausted available supply
Expiry RiskKits will expire before they can be used
Constraint RiskProduction capacity limits the available quantity

Risk Analysis

For each identified risk:

  • Kit Type -- Which kit is at risk
  • Country -- Where the shortfall may occur
  • Month -- When the risk is projected
  • Quantity -- Size of the potential shortfall
  • Reason -- Root cause analysis

Using Risk Insights

Risk assessment helps you take proactive action:

  1. Timing risks -- Adjust production start dates or shipping methods
  2. Depletion risks -- Increase production quantities or add runs
  3. Expiry risks -- Adjust production timing or reduce batch sizes
  4. Constraint risks -- Review production capacity or add manufacturing slots

Cost Analysis

If you configured kit costs in the wizard, the Cost Analysis view provides financial projections.

Cost Breakdown

ViewDescription
By Kit TypeCosts allocated to each kit
By CountryCosts allocated to each country
By Time PeriodMonthly, quarterly, and yearly summaries

Cost Metrics

  • Kit Costs -- Based on kit unit costs and projected consumption
  • Production Costs -- Aggregate costs by manufacturing run
  • Total Trial Cost -- Overall supply chain cost projection

For In-Progress Trials

When actual data is available:

  • Actual costs -- Based on confirmed consumption
  • Projected costs -- Forecast for remaining trial period
  • Variance analysis -- Actual vs. planned cost comparison

Working with Analytics

Refreshing Forecasts

Analytics automatically update when you:

  • Modify trial configuration in the wizard
  • Enter new actual enrollment or inventory data
  • Change scenario parameters

Exporting Data

Export analytics for offline analysis or sharing:

  • PDF Reports -- Formatted summaries for stakeholders
  • Excel/CSV -- Detailed data for further analysis

Comparing Scenarios

Use the scenario selector to compare forecasts across different trial configurations. This helps you evaluate the impact of different assumptions on supply requirements.


Next Steps

  • How Demand Forecasting Works -- Learn what drives your forecasts and how to improve accuracy
  • Scenario Planning -- Create alternative scenarios to test different assumptions
  • Managing Drug Substances -- Plan upstream material requirements