Production AI systems handling patient communication, clinical triage, and practice operations. Deployed on multi-layer auditable infrastructure with HITL gates at every clinical decision point.
Each system below is a self-contained module deployed on shared infrastructure. All four run concurrently, sharing identity, audit, and escalation layers.
Handles inbound patient text messages across multiple practice lines. Recognizes members by phone number — zero login, zero app download. Routes refill requests, schedules appointments, performs symptom assessment with graduated escalation. Closes clinical loops: automated follow-up with physician alert on non-response. Built on Twilio infrastructure with SHA-256 hash-chained audit logging.
Answers practice phone lines with four-level triage logic: routine scheduling → symptom assessment → urgent physician alert → emergency dispatch instruction. Members never wait on hold. Distinguishes chest pain from a refill request using clinical protocol routing. Vapi-powered with branded voice. Same phone number — zero member behavior change.
Post-consult and post-triage follow-up automation. After every interaction, the system checks back. Responses logged. Non-responses flagged. Escalation with pre-collected context to the physician. Closes the loop that human staff typically lose — the system remembers every open interaction across every member.
Real-time dashboards showing utilization, response metrics, and operational throughput. Designed for practice administrators monitoring member engagement across multiple locations. Clean interface with zero training required. Data refresh is live — no batch processing, no overnight reconciliation.
Each layer can be inspected, tested, and stopped independently. No single point of failure. No single point of trust.
Clinical protocols — triage rules, escalation thresholds, follow-up cadences — are structured into the AI's routing engine. The practice defines the rules. The AI encodes them. No generic medical training data — only the practice's own protocols.
The AI runs against historical cases and edge conditions. Every response is reviewed. Protocols are refined until triage accuracy meets the practice's clinical standard. Human clinicians make every validation decision.
The AI goes live handling real traffic. Every response logged. Every escalation reviewed. Metrics tracked: response time, triage accuracy, loop closure rate. New locations connect to the same trained system — no re-training, no re-validation.