Customization

Tuning the Rules to Your Practice

The rules worth revisiting after go-live: which requests to handle, escalation thresholds, and the edge cases only your practice has.

Configure call routing rules based on specialty, provider schedule, and urgency level
Map patient intake templates to your EHR's required fields and your clinical intake processes
Define escalation triggers (patient age, insurance gaps, symptom severity, wait times)
Train clinical and front-desk staff on when and how to receive transferred calls
Set up feedback loops so staff can rate call quality and retrain the AI on edge cases
Monitor real-time call metrics and refine workflows based on no-shows, conversion, and call length

How it pays back

Smooth Staff Handoff

Your team receives pre-qualified, contextually rich calls with patient history already captured—they answer with full information and can focus on clinical care or booking.

Customized to Your Practice

MedReception AI is custom-built for your specialties, appointment types, provider preferences, and clinical rules—not a plug-and-play solution. It handles calls the way your practice expects.

Continuous Learning

Staff feedback on each call teaches the AI to improve over time, reducing escalations and handling more calls independently as it learns your workflows.

Transparent Quality Metrics

You see every call recording, transcript, and AI decision—giving you audit trails for compliance and visibility to train and improve the system.

Configured in days, not weeks

Onboarding templates and EHR pre-mapping speed deployment

Staff adoption tracked

Real-time dashboards show transfer rates, escalation reasons, and coaching opportunities

Call recordings retained

Full audit trail of every interaction for compliance, training, and quality assurance

Escalation rules customizable

Define your own triggers for urgent care, specialty routing, and after-hours protocols

Frequently asked questions

How long does it take to get the AI up and running?

Most practices go live within 1–2 weeks. Onboarding involves mapping your EHR, defining call routing, and a brief training session with your team. No code required.

What if the AI makes a mistake on a booking or intake?

All bookings are logged and your staff can review and edit before the patient is confirmed. Intake errors are flagged for correction, and call recordings let you retrain the AI.

Can we disable the AI during busy hours and use it for off-peak calls only?

Yes. You can schedule the AI to active during specific hours, or use it only for after-hours, weekends, and holidays. Hybrid models are common.

How does the AI know which provider to route a patient to?

You configure rules: by specialty, condition keyword, patient request, or provider availability. The AI checks your live schedule and picks the best match or offers callback.

What training do my staff need?

Minimal. Staff learn how calls will arrive (pre-screened, with context), how to review the AI's notes, and when to escalate. Most practices complete training in one meeting.

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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Customizing Workflow Rules and Escalation Thresholds | Medreception AI