Implementation
Step-by-step guide to integrating an AI receptionist into your medical office workflow, from EMR connection through call handling and staff training.
No phone line replacement needed—AI answers your existing lines alongside staff, so you can scale gradually.
New patient intake, appointment booking, and triage rules are built to match how your staff already works.
Every call, appointment, and patient record remains visible to your team; AI handles volume, humans make decisions.
Parallel operation mode
Answer calls alongside your staff during the learning phase
EMR-native configuration
Connects to your existing system—no manual data entry bridges
Call-by-call refinement
Transcripts reviewed by staff to continuously improve AI responses
No. The AI receptionist integrates with your existing phone lines—incoming calls ring your current system, and the AI answers alongside your staff or after hours.
Initial configuration typically takes 1–2 weeks, including EMR connection, call routing setup, and staff training. You can pilot with a single line or shift first.
Appointment bookings, new patient creation, and patient demographics (name, date of birth, phone) write directly to your EMR. Medical history, insurance, symptoms, and other clinical content are captured on the call and returned as a structured summary for your staff to review and file.
Yes. Any staff member can intercept a call mid-conversation or route it to a colleague. The AI also recognizes escalation requests and transfers immediately.
Integration
EMR and EHR integrations
See all supported EMR platforms and how data flows between systems.
Workflow
Patient intake
Learn how AI captures structured intake data and returns it for staff review.
Product
Meet Katie, the AI receptionist
Overview of the AI receptionist platform and core capabilities.
See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.
Want the numbers first? See plans and pricing
