Operations
As pain practices add procedures and providers, front desk phone volume grows beyond manual capacity. AI receptionist handles intake calls, captures new patient data, and books appointments during peak hours and staff clinic time—enabling growth without hiring.
Your providers are seeing patients and don't have front desk staff available. Inbound new patient calls are answered by the AI, intake is captured, and appointments are booked. Callers don't hear voicemail or give up and call a competitor.
The AI gathers insurance, medications, chief complaint, imaging history, and any prior auth questions during the initial call. Appointment is booked with complete context. Your staff reviews the structured intake summary and doesn't need to call back to clarify what the patient needs.
As your pain practice adds a provider or starts a new procedure service (nerve blocks, joint injections), call volume grows. The AI scales intake capacity without hiring, training, or workspace expansion. Your existing staff stays focused on clinical and operational excellence.
New patients often ask about insurance coverage and prior authorization. The AI captures these questions and routes them to your prior auth specialist. Appointment is booked pending auth; insurance is handled in parallel without asking the patient to call back.
New patient intake calls answered during peak hours
Inbound callers get live voice, intake capture, and appointment booking without staff manual intervention
First-call data capture eliminates repeat calls
Insurance, medications, chief complaint, and prior imaging gathered in one conversation
The AI answers calls concurrently (all at the same time), unlike a staff member who can only handle one call. As your practice adds providers or procedures, inbound call volume grows, and the AI simply handles the additional volume. Your front desk staff stays stable even as your patient panel grows.
Yes. The AI asks about insurance plan, group number, medications (especially pain meds, anticoagulants), allergies, prior imaging, and chief complaint. This information is structured and returned to your staff as a summary for review and filing. If questions arise, staff calls the patient with complete context already on file.
The AI captures insurance questions and flags any auth requirements. Appointment is booked, and your prior auth team reviews the insurance details and processes authorization in parallel. The patient doesn't need to call back; your team handles auth internally.
You can configure either. The AI can book directly into your EMR based on provider availability and procedure type, or it can queue the appointment for your staff to approve within a set timeframe (e.g., 30 minutes). Either way, the patient gets a confirmed appointment or a 'we'll confirm within an hour' message.
All AI intake calls are logged and sampled by your team. Your staff reviews calls monthly to ensure clinical questions are asked and insurance data is accurate. If patterns emerge (e.g., patients not being asked about contraindications), your team adjusts the AI's intake script.
See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.
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