AI-Powered Patient Scheduling and Triage Agent
Multi-specialty physician group, Northeast US
01 / Challenge
A 200-physician multi-specialty group was losing $4.2M annually to no-shows and last-minute cancellations. Scheduling staff of 22 FTEs spent 70% of their time on rescheduling calls, and triage routing errors were causing 18% of appointments to be booked with the wrong specialty type.
02 / Approach
QuettaMinds built a conversational AI scheduling agent integrated with the group's EHR and practice management system. The agent handles inbound scheduling requests, triages clinical urgency using a private model trained on the group's historical triage protocols, and routes patients to the appropriate provider and appointment type.
03 / Outcome
No-show rate dropped from 19% to 7% through intelligent reminder sequencing and waitlist management. Triage routing errors fell to 3.1%. Scheduling call volume handled by staff decreased 58%, allowing redeployment of 12 FTEs to clinical support roles.
Representative case study illustrating common agentic-AI deployment patterns in Healthcare; not a specific QuettaMinds client engagement.
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