AI Clinical Triage

AI clinical triage sits between patient intake and provider review. It processes structured intake data - medical history, current medications, contraindications, stated goals - and applies rules or model-based logic to determine which patients are eligible for a program, which require additional information, and which should not be routed to a provider. This reduces unnecessary provider time on ineligible cases and accelerates review for straightforward candidates.

For operators, AI triage is a throughput multiplier. A licensed provider's time is your most constrained resource. If providers spend time reviewing cases that should have been caught at intake, your cost per case reviewed rises and turnaround time slows. AI triage filters the queue so providers spend their time on cases that need clinical judgment rather than on routine exclusion criteria.

Karpa's platform includes AI-assisted intake review configured to each program's clinical protocols. Operators define eligibility criteria; the platform applies them automatically before routing cases to the provider queue. Ineligible applicants receive appropriate communications without consuming provider capacity.