Implementation
Learn the step-by-step process for implementing an AI medical office assistant—from EHR integration and phone number setup to staff training and performance monitoring.
Start with a pilot period so your team learns workflows and you can adjust AI behavior before deploying fully.
Staff know exactly when and how the AI will escalate calls to them, reducing confusion and training time.
Monitor call outcomes, booking rates, and staff feedback to continuously improve the AI's performance and alignment with your workflows.
Implementation is designed to integrate into existing workflows; you don't need to overhaul your practice operations.
Named EHR & Integration Ready
Connects to athenahealth, eClinicalWorks, Epic, Elation, Cerbo, Hint, Tebra, AdvancedMD, ModMed
Configurable Workflows
Adapted to your specific practice rules, protocols, and specialty requirements
Staff Training & Onboarding
Clear documentation and guidance for receptionists and clinical staff
Ongoing Monitoring & Tuning
Dashboard tracking of call outcomes, booking rates, and escalation patterns
Initial setup typically takes 1–2 weeks, depending on the complexity of your EHR integration and scheduling rules. A pilot phase with real calls helps you validate workflows before full deployment, which adds another 1–2 weeks. (Note: athenahealth and eClinicalWorks integrations often take 1–3 weeks; other named integrations typically 3–6 weeks.)
You'll provide your practice name, specialty, appointment types, provider availability, scheduling rules (buffer times, visit duration, location preferences), triage protocols, and any custom intake questions. Your EHR and phone system credentials enable secure integration.
Training is minimal. Your team learns how the AI handles calls, when it escalates, and how to review AI-generated summaries. Most staff adapt within a few days of exposure. We provide onboarding documentation and support.
Yes. Many practices start by handling after-hours calls with the AI to test the system with lower-risk calls. Once confident, they expand to daytime hours or specific call types.
Patients can always ask to speak to someone, triggering an immediate escalation to staff. Additionally, all calls are reviewed; patterns of misunderstandings are identified and the AI is retrained on that scenario.
Related
Patient Booking Automation Implementation
Detailed guidance on rolling out booking automation in your practice.
Technical
EHR Integration for AI Booking System
Learn the technical requirements and integration process for your EHR.
Selection
Best AI Receptionist for Medical Practice
Compare features and capabilities to choose the right AI solution for your practice.
See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.
