Cohort Intelligence
Multi-Phase Analytics Suite
Environment:
Env: Fused
Risk & Spend
Clinical
Pharmacy
Coding
What-If
Cohort Intelligence
Discover high-cost subgroups and actionable root causes
Population
Mean Cost
Total Spend
High Cost Members
Filter Population
Error
Running discovery algorithm...
Discovered Groups
features screened
High-Cost Subgroup
Low-Cost Peer (Same Characteristic)
Members with same trait but achieving lower costs
Drivers & Cost Composition
Loading...Drivers explain what differentiates higher cost; composition reflects cost-aligned signals.
Top Drivers
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No drivers available.
Cost Composition
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No cost composition drivers available.
| # | Rule / Subgroup | Size | Mean Cost | Peer Mean | Lift | Savings | Intervention | Actions |
|---|---|---|---|---|---|---|---|---|
|
ACTIONABLE
|
— |
Peer Mean = Average cost of baseline peers (similar clinical profile) who do not meet the differentiator rule. The gap highlights addressable variation within the cohort.
Group Details
Differentiator Rule
Rule Breakdown
Baseline Peer Criteria
No baseline anchors applied; peers are unavailable for this subgroup.
Size
Mean Cost
Savings Potential (30%)
Peer Mean Cost
Within-Group Drivers (High vs Low Cost)
Suggested Actions
Differentiators (High vs Low Cost)
Differentiator Rule
| Factor | High-Cost | Low-Cost | Effect |
|---|---|---|---|
Member Load Error
Loading members...
| Member ID | Age | Gender | Region | Risk Tier | Comorbidity | Total Cost |
|---|---|---|---|---|---|---|