Onboarding
From vendor setup through go-live, here's what happens during AI receptionist onboarding: EMR integration, call routing configuration, staff training, and the first live shift.
Start with after-hours calls or a single provider line. Your team learns the new workflow without disrupting peak-hour operations. Problems surface in a controlled environment.
During pilot and early production, you identify which urgent keywords your practice cares about most. The system learns your escalation patterns and clinical priorities.
Training doesn't just show staff how to use the system—it shows them how their day changes. By day 30, they're comfortable with the new workflow and can troubleshoot common issues.
Before you go live, test a booking: call the AI, book an appointment, verify it appears in your EMR. By day 3, you know the integration works or what needs fixing.
EMR sync tested and verified
Appointment bookings and patient demographics confirmed in system
Triage rules customized
Urgent keywords and escalation logic aligned with clinical team
Staff training completed
Intake review, emergency escalation, and workflow changes covered
Pilot phase executed
After-hours or single-provider testing before full production
Go-live and monitoring
Real-time support and weekly tune-ups during first month
1-3 days for most vendors, if your EMR is in their supported list. Custom integrations or older EMR systems can take weeks. Verify this timeline upfront with the vendor before signing.
Yes. Most practices do this. After-hours pilot lets you test triage logic, booking accuracy, and staff intake review without disrupting peak operations. Once confident, expand to full-time coverage.
Log it. Don't worry. Mistakes during pilot are learning moments. You adjust the triage keywords, intake questions, or booking rules. By production, the system is tuned to your practice.
At minimum, front desk, clinical coordinators, and one clinician should attend. Others can watch a recording. Training covers intake review, emergency escalation, troubleshooting, and how to provide feedback to the vendor.
Some will. Most won't notice or care—the AI sounds natural. For those who object, they can request a transfer to a human on demand. Your staff handles it normally from there.
Weekly check-ins for the first month, then monthly. Review call logs, escalation patterns, and staff feedback. Adjust triage keywords, booking logic, or intake questions as needed.
Technical Setup
AI Receptionist EHR Integration Guide
Step-by-step EMR integration and appointment sync configuration.
Configuration
AI Receptionist Call Screening & Triage
How to define and test urgent call escalation logic with your clinical team.
Workflow
Front Desk Efficiency & Medical Practice Growth
How staff roles shift under AI reception and what to train for.
Next step
Call routing and triage
Getting each caller to the right place first time.
See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.
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