Implementation
Small practices often worry voice AI deployment is complex and disruptive. Here's a realistic timeline: EMR integration (1–3 weeks), configuration (1–2 weeks), team training (2–4 weeks). Total: 4–9 weeks to full operation.
Voice AI runs in the cloud and connects to your EHR via secure API. You don't install servers, maintain infrastructure, or hire IT staff. Your practice shares EMR credentials with MedReception, and the integration is live. Small practices benefit most because IT overhead is eliminated.
Your receptionists and clinical staff are handling voicemail loops and repetitive scheduling calls all day. When voice AI removes these tasks and passes structured intake summaries to staff for review, they notice immediately. Adoption is rapid because the system tangibly reduces daily stress.
You don't have to launch all calls to voice AI on day one. Many small practices start with after-hours calls only, then move to daytime overflow, then full coverage. This reduces operational risk and lets your team adjust gradually.
Zero infrastructure to manage
Cloud-based, no servers or IT overhead
EMR credentials (API key or service account) and confirmation of which data fields should sync (appointment slots, patient demographics). For most EHRs, this is a straightforward API connection. Your IT team or EMR vendor can help set this up in a few hours.
Yes. Many small practices begin with after-hours and weekend calls to prove value and let staff adjust to the system. After 2–4 weeks, they expand to daytime overflow or full coverage. This phased approach reduces risk and allows time for optimization.
Voice AI answers calls while staff listen in and monitor. You review how the AI handles your most common call types, whether escalations work properly, and if intake questions fit your specialty. Any issues are corrected before full launch.
Minimal. Your staff's day changes because they handle fewer voicemails and do more complex work—patient callbacks, insurance negotiation, clinical coordination. The systems they use (EHR, scheduling software) don't change. Training is typically a 1-hour walkthrough of the new call flow and where to find voice AI-captured data in your EHR.
We integrate with 13+ platforms natively. If your EHR isn't on the list, we can work with you to build a custom API connection or use a data-bridge tool. This adds 2–4 weeks to timeline and may involve a one-time integration fee. Discuss this with MedReception's integration team early.
MedReception uses transparent monthly pricing—no per-call charges. You know your cost upfront, and it doesn't fluctuate based on call volume. This is especially valuable for small practices because predictable costs make budgeting easier.
Product
Meet Katie, the AI receptionist
Overview of MedReception's voice AI system and deployment process.
Integration
EMR and EHR integrations
All native EMR integrations and API requirements.
Specialty
AI receptionist for primary care practices
Deployment and configuration specifics for family medicine and internal medicine.
See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.
