Three capabilities. One coordinated system.

Most navigation programs rely on referral date, discharge status, or a clinician's best guess to decide who gets called first. We take a different approach.

NLP (natural language processing) turns unstructured clinical notes into structured insights, capturing barriers like transportation issues that structured data misses, while models improve with new outcome data.

The model outputs a prioritized work queue with context, not just a risk score. Navigators see why patients are prioritized and the recommended action, enabling informed conversations.

Care Continuity's navigation services team works patient queues the same day they're prioritized, reaching patients by phone and digital outreach, collecting real-world barriers to care, escalating when something is wrong, and confirming that appointments are scheduled and kept.

This isn't automated messaging—it's a trained team handling real complexities like missed home health, failed transport, and misunderstood instructions. Navigators document findings, feeding data into analytics.

Navigators use model-informed queues with AI-surfaced context and NLP barriers before outreach, enabling faster conversations and fewer cold calls. They complete seven interactions per patient, uncovering barriers calls miss.

Care Continuity's analytics layer aggregates it into reporting that health system and medical group leaders can actually use: scheduling completion rates, downstream procedure capture, time-to-appointment for priority patients, readmission rates, and care plan barrier categories.

For value-based care, this means real-time visibility into key metrics, not six-month-old claims reports. CarePath IQ aggregates external clinical data across markets, surfacing out-of-network utilization and readmissions before claims catch up.

The result is a feedback loop: analytics inform model refinement, which improves navigator targeting, and navigator outcomes generate better data, making the system more accurate over time.