Telehealth Intelligence/VP of Population Health

The cohort risk
hiding in plain sight.

Every employer you serve has a population whose needs your data can't fully see — because billing codes reflect procedures, not patient-reported concerns. CogniSwitch structures 100% of clinical conversations so you identify risk patterns, care gaps, and upsell demand before they become contract renewals at risk.

250K+
Annual Visits Analyzed
100%
Recorded Visit Coverage
99%
Expert-Aligned Accuracy
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Value-based contracts require quality measures. Quality measures require data you don't have.

Manual sampling captures 2–5% of visits. The cohort-level risk patterns — employer populations with unmet primary care demand, care gap clusters, protocol adherence trends — live in the 95% your teams can't review. That data doesn't reach your VBC submissions, your Stars calculations, or your renewal conversations.

Primary Capability

Population Risk Intelligence

Earlier risk capture, defensible VBC measures, and employer book expansion.

Identifies care gap patterns, risk cohort clusters, and upsell demand signals across the employer book — drawn from what patients actually reported during clinical visits, not just what was coded.

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Secondary Capability

Clinical Stewardship Monitoring

Protocol adherence across the network — systematically, not by sampling.

  • Antibiotic, steroid, and controlled-substance protocols monitored at every visit.
  • Catch protocol slippage before it accumulates into a quality problem.
  • Audit-ready stewardship data that supports both clinical and compliance goals.
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Upsell Handoff

Patient Activation Intelligence

Upsell conversion from population signals to patient-level engagement.

When Population Risk Intelligence identifies demand at the employer level — weight management, primary care gaps, behavioral health need — Patient Activation Intelligence converts it, patient by patient.

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CASE STUDY • FIRST STOP HEALTH

First Stop Health

Transitioned from manual, statistically insignificant sampling to a governance model that analyzes every provider interaction — across a national network.

NETWORK SIZE1,000+ Providers [FSH-1]
ANNUAL ENCOUNTERS250K+ Visits [FSH-2]
AUDIT COVERAGE<5% → 100% [FSH-3]
ANNUALIZED SAVINGS$2.0M [FSH-4]
CLINICAL ALIGNMENT99% [FSH-5]

“We aren't projecting these numbers. This is in production today, powering our clinical governance at scale.”

REFERENCE DATA [FSH-1:5] • Q1 2026 AUDIT
[FSH-1] 1,000+ providers in the First Stop Health clinical network.
[FSH-2] 250,000+ recorded visits analyzed annually.
[FSH-3] Audit coverage expanded from <5% manual sampling to 100% automated review.
[FSH-4] Annualized reduction in QA operational costs and risk mitigation.
[FSH-5] Performance alignment measured against blind double-read by clinical directors.
Deterministic Scoring
Scored against your own clinical guidelines, visit by visit.
99% Expert Alignment
Validated against expert clinical reviewers across 250,000+ visits.
Source-Linked Data Integrity
Every quality measure traces to the visit where it was documented.

Not an EMR query. Not a generic LLM. Every output is traceable.

Related perspectives
Next Steps

Not a demo.
A working session.

Bring your employer book and VBC metrics. We'll show you which population signals we surface in 45 minutes.

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CogniSwitch / VP of Population Health
© 2026