See what your employer
book needs next.
Population Risk Intelligence aggregates patient-reported clinical signals across employer populations to identify cohort-level risk, unmet care demand, and upsell opportunity — at the scale that renews contracts and expands them.
Employer book intelligence requires more than claims data.
Claims data tells you what was coded. It doesn't tell you what patients reported during visits — the care gaps they mentioned, the conditions they're managing without formal diagnosis, the services they asked about. Population-level patterns built on incomplete data miss the demand signals that renew contracts and expand them.
What it does
Population Risk Intelligence aggregates individual patient signals — extracted from every recorded visit — into employer-level and cohort-level views. Care gap clusters, risk cohort patterns, and unmet service demand surfaces as queryable population intelligence. Each finding traces back to the visits that generated it.
What changes when every visit counts.
- Earlier risk capture — cohort patterns surface before individual risk escalates to a clinical event.
- Care gap identification at population scale, sourced to clinical dialogue not just codes.
- Identifies upsell demand across the employer book: populations showing primary care gaps, weight management signals, behavioral health need.
- VBC and Stars contract defensibility — quality measures grounded in 100% visit coverage.
- Renewal conversations with evidence: employer-level population health data drawn from actual visits.
- Avoidable utilization signals: identify populations likely to generate avoidable ED visits or escalations.
Paired with Patient Activation Intelligence
Population Risk Intelligence identifies demand at the employer level — a cohort showing weight management signals, a population with unmet primary care need. Patient Activation Intelligence converts those population-level findings into patient-level outreach prompts. The upsell story runs from discovery to conversion.
Patient Activation IntelligenceFirst Stop Health
Transitioned from manual, statistically insignificant sampling to a governance model that analyzes every provider interaction — across a national network.
“We aren't projecting these numbers. This is in production today, powering our clinical governance at scale.”
First Stop Health's population of 250,000+ annual visits across 1,000+ providers is the evidence base for cohort-level risk intelligence at scale.
Not an EMR query. Not a generic LLM. Every output is traceable.
Not a demo.
A working session.
Bring your employer book and your current renewal data. We'll show you which population signals we surface — in 45 minutes.
Request a working session