eLife Insight
Population health analyticsbuilt for health systems.
Reduce readmissions, identify at-risk populations before ER visits, and track outcomes across care settings. Ad hoc cohort queries run against 10M+ patient-lives in under three seconds.
- LACE+
- NEWS2 sepsis
- Falls risk
- FHIR Bulk export
For hospital systems
Four things leadership asks for, answered continuously
Readmission risk scoring by population
LACE+ model scored per patient, updated with every new clinical event. Risk tiers update in near-real time across your entire population.
At-risk identification before ER visits
Flag high-risk individuals before an emergency visit, not after. Alert thresholds are configurable per care protocol and risk tier.
Outcome tracking across care settings
Inpatient, outpatient, ED, and post-acute outcomes in one view. Track what actually happened after discharge, across every care setting.
Real-time care gap analysis
Care gaps surface as they open: a missed follow-up, a lapsed medication, a lab result overdue. Prioritized by risk score.
Capabilities
The analytics layer, in full
Every capability runs on the same de-identified population store, so numbers reconcile across views.
Three data sources, one population store.
- Chronic diagnosis list
- Active medication history
- Emergency contacts and directives
- Patient-reported SDOH flags
- Visit encounter records
- Drug-allergy conflict events
- Referral and follow-up orders
- ADT admit / discharge / transfer
- Lab and radiology results
- Discharge disposition and DRG
- Claims and utilization history
Governance
De-identified before it ever reaches analytics
Enterprise license
See your own population in the dashboard
We can stand up a scoped pilot against a de-identified extract so leadership sees real numbers before committing.