IVR Replacement

Replace IVR Phone Trees with AI that Routes Calls According to Your Specialty's Clinical Protocols

Stop routing patients through generic menus. AI learns your specialty's intake requirements, triage logic, and clinical workflows to route calls intelligently to the right provider, technician, or follow-up queue.

How it pays back

Faster Time-to-Clinician

Specialty-aware routing eliminates generic menu navigation. AI gathers the exact information your providers need, then connects the patient to the right person in seconds.

Improved Clinical Safety and Accuracy

Structured intake ensures critical clinical data (allergies, prior surgeries, current medications) is captured and visible before the patient speaks to a clinician. Reduces errors and ensures continuity of care.

Reduce Clinician Interruptions

Pre-screened calls arrive with full context. Providers spend less time asking background questions and more time on clinical decision-making and treatment planning.

Specialty-Aligned Workflows

Different specialties have different needs. Customize AI prompts, routing rules, and data capture to match your exact protocols—orthopedic pre-op checklists, cardiology risk stratification, dermatology cosmetic vs. clinical triage, etc.

Specialty protocol integration

AI trained on your specific intake requirements, clinical decision trees, and routing logic

Structured clinical summaries

All intake data returned in pasteable format for staff verification and EMR filing

EMR-aware context

13+ integrations pull patient history, active meds, allergies, and appointment slots in real time

Real-time availability routing

Calls routed based on live clinician or technician schedules, not static menu trees

Frequently asked questions

Can the AI handle complex branching logic for my specialty?

Yes. Whether you need orthopedic pre-op screening, cardiology risk assessment, or urology symptom triage, the AI can be trained on your specific protocols. During onboarding, we work with your clinical team to define routing rules and data capture requirements.

What if a patient's condition requires escalation during the call?

The AI listens for clinical red flags (chest pain, difficulty breathing, loss of consciousness) and can immediately escalate to an available provider or emergency protocol. Your team defines escalation triggers.

How does the system know which clinician has which patient's history?

EMR integration pulls patient records in real time. When a call comes in, the AI accesses the patient's chart (if new to your practice, a record is created during the call) and routes based on provider assignment, specialty, and availability.

Can we customize routing for new patient intake vs. existing patient callbacks?

Absolutely. New patient calls can trigger detailed intake questionnaires and specialist assignment logic. Existing patients can be routed directly to their assigned provider or to a specific follow-up queue based on reason for call.

What happens if your AI doesn't have enough information to route the call correctly?

The AI will ask clarifying questions or offer a callback if the issue is complex. Your staff always has the final say. The system is built to support human decision-making, not replace it.

Related reading

Bring this to your practice

See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.

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