Claims-safe activation program measurement.
Cohort segmentation, outcome tracking, and quarterly validation. Governance rules that prevent over-claims.
What you get
Cohort Segmentation Support
Patient cohorts segmented by activation criteria, adherence patterns, and stability signals.
Activation Outcomes Tracking
Program outcomes tracked with explicit bounds and assumption disclosure.
Quarterly Validation Packets
Evidence packs formatted for program review with methodology and limits disclosed.
Governance Against Over-Claims
Built-in rules prevent reporting that exceeds what the data supports. Refusal rules enforced.
How it works
Representative workflow. Illustrative. Outcomes vary by program design.
Program Definition
Activation criteria, success metrics, and measurement bounds defined upfront.
Cohort Configuration
Patient segments configured with explicit inclusion/exclusion criteria.
Tracking Setup
Outcome tracking configured with assumption documentation.
Governance Rules
Claims-limiting rules applied to prevent unsupported conclusions.
Validation Delivery
Quarterly packets delivered with ranges, not point estimates.
Scope & boundaries
What we do
- ✓Cohort Segmentation Support
- ✓Activation Outcomes Tracking
- ✓Quarterly Validation Packets
What we don't do
- ✗Unsupported efficacy claims
- ✗Point-estimate outcomes
- ✗Marketing-driven metrics
Simulation ranges, not predictions. Assumptions required for all outputs.
Built for institutional requirements
Security controls, data handling practices, and scope limits are designed for procurement, legal, and security review.
Role-Based Access Control
Access scoped by role and organization. Users see only what they're authorized to access.
Tenant Isolation
Employer data is logically isolated. Cross-tenant access is structurally prevented.
Audit Logging
High-stakes actions are logged with timestamp, actor, and rationale for governance review.
Data Minimization
We collect only what's required for bounded modeling. Cohort-level inputs, not individual records where possible.
Scope & Limits
- —Simulation outputs are ranges, not predictions.
- —Not medical advice or diagnosis.
- —Assumptions required for all outputs.
- —Control design is aligned to HIPAA Security Rule safeguards and SOC 2 trust service control domains.
Change Control
Method updates are versioned, reviewed on a quarterly governance cadence, and reflected in artifact assumptions.
Evidence of value (without marketing math)
Ranges, assumptions, and limits disclosed. No invented metrics.
We don't publish customer names or results without written approval.
Instead, we show representative artifact formats and clearly-labeled illustrative scenarios.
Illustrative Scenarios
Manufacturer outcomes data scenario
Illustrative scenarioCommon questions
How do you avoid making claims we can't support?
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Governance rules are structural. The system refuses outputs that exceed what the data supports and logs the refusal.
How do we measure program lift credibly?
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With bounded ranges, baseline comparisons, and explicit assumption disclosure. No single-point 'X% improvement' claims.
Can we use this for regulatory submissions?
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Outputs include methodology and audit trail. Suitability for specific regulatory purposes requires your compliance review.
Ready to evaluate?
Contact us for a conservative analysis. We'll determine if bounded containment is appropriate for your context.
Simulation ranges, not predictions. Not medical advice or diagnosis.
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