Automated Patient Triage in Healthcare

Triage ingests real-time patient data from Epic, Cerner, or athenahealth via HL7 FHIR APIs and applies clinical decision logic to route every encounter to the optimal care setting based on acuity, comorbidities, and payer authorization status - in seconds, depending on your EHR's own API response time. The system learns from your historical claims denials, prior authorization patterns, and readmission data, continuously refining routing rules without manual intervention. Unlike generic chatbots, it integrates directly into your revenue cycle workflow, pre-fills insurance verification, flags missing prior authorizations before scheduling, and surfaces recommendations to clinical staff for review and override, ensuring human control while eliminating administrative bottlenecks.

Yes. The system we deploy runs inside your own HIPAA compliance boundary, with zero-retention AI policies - patient data is never used to train public models. All data flows through encrypted HL7 FHIR channels directly from your EHR to the triage engine, and all triage decisions are logged in your system for Joint Commission and OIG audit review. Each deployment runs in its own isolated environment - no shared tenancy with other organizations - with security controls scoped to your healthcare cybersecurity requirements.

Plan for a working system inside the first 100 days: weeks 1-3 involve EHR integration and data mapping; weeks 4-6 cover model training on your historical claims and triage data; weeks 7-9 include pilot testing with your Patient Services team; weeks 10-14 focus on full rollout and workflow optimization. A rollout like this is scoped to show measurable results - faster prior authorization processing and reduced manual routing tasks - within 60 days of go-live, with full ROI realization by month 4.

Triage ingests real-time patient data and applies clinical decision logic to route every encounter to the optimal care setting based on acuity, comorbidities, and payer authorization status - in seconds, depending on your EHR's own API response time. It integrates directly into the revenue cycle workflow, pre-fills insurance verification, flags missing prior authorizations, and surfaces recommendations to clinical staff, eliminating administrative bottlenecks.

Your clinicians are, and the system is built around that fact rather than around replacing their judgment. Every triage recommendation is presented as a recommendation, not a directive, with the acuity signals and data points that produced it shown alongside so a nurse or physician can agree, override, or escalate in seconds instead of redoing the triage from scratch. Overrides are logged and fed back into the model so patterns of disagreement surface for review rather than disappearing quietly. The system is a second set of eyes reading data faster than a person can, not a decision-maker with its own liability exposure - the accountable clinician signs off on every disposition, the same as today.

The triage system learns from your historical claims denials, prior authorization patterns, and readmission data, continuously refining routing rules without manual intervention. Every human override becomes a training signal: when clinical staff adjust a routing recommendation, the model updates its rules, so accuracy compounds over time instead of decaying the way static rule sets do.