Scalability

Multi-location pain practices struggle with call routing and cross-clinic scheduling. An AI receptionist routes calls to the right location, checks availability across all sites, and consolidates schedules.

Pain practices with multiple locations face routing chaos: patients call a main line unsure which clinic they need, and coordinators spend time validating availability across sites. An AI receptionist asks location preference, checks real-time availability across all clinics, and books appointments centrally.

AI greets caller and asks which location is most convenient or whether they're a new or existing patient
Availability checked across all locations in real time — AI shows patient the soonest appointments across the entire network
Patient booked at their preferred location (or next available if preferred is full); appointment written to centralized EMR
Calls routed to location-specific staff if needed (e.g., new patient intake routed to main clinic scheduling team)
After-hours calls from any location answered centrally and triaged to appropriate on-call clinician
Staff at each location see their schedule clearly; corporate or management team sees network-wide booking trends

How it pays back

Patients book the soonest appointment across your entire network

Instead of calling one clinic, learning it's full, calling another, and waiting for callbacks — the AI checks all locations during one call. Patient books the appointment that works best, and it's confirmed before they hang up.

Eliminate cross-clinic phone transfers and callback delays

AI handles the routing logic upfront. Patient doesn't sit on hold waiting to be transferred; AI asks their preference and books directly. Staff doesn't spend time transferring calls between locations.

Centralized after-hours triage across all sites

After-hours calls from any location are answered by the same AI and routed to the correct on-call clinician. No missed calls because a satellite clinic's voicemail was full, no confusion about which site's on-call is active.

Corporate visibility into network-wide booking and no-shows

All appointments and call data flow through one system. Management sees booking trends, utilization, and no-show patterns across all locations without manual consolidation.

Real-time availability across all locations

AI checks each clinic's schedule simultaneously during call

Patient offered soonest appointment across network

No need to call multiple clinics; all options shown in one conversation

Appointments written to centralized EMR

Each location's staff sees their schedule; corporate team sees network overview

After-hours calls routed to correct on-call provider

Centralized answering with location-aware escalation

Frequently asked questions

How does the AI know availability across multiple locations?

Your EMR or practice management system must sync real-time availability from each clinic's calendar. The AI queries this data live during the call and displays the next available slots across all locations.

What if one location is significantly farther away?

You can configure the AI to ask the patient's zip code or preferred location first. The AI can then prioritize nearby locations in the availability list, with farther locations shown as secondary options.

Do appointments at all locations sync to one EMR?

Yes. If your practice uses a centralized EMR (e.g., AdvancedMD, athenahealth, or eClinicalWorks), all clinic locations' appointments sync there. Each clinic staff sees their location's schedule; admins see the full network.

How are after-hours calls routed with multiple locations?

You define which on-call clinician is active for each location on each night. When an after-hours call comes in, the AI determines the caller's location (or asks), and escalates to the right on-call provider with the caller's details and urgency level.

Can the AI handle patient preferences for specific providers?

Yes. If a patient requests a specific interventional specialist, the AI checks that provider's availability across all locations and books with them if available. If that provider is booked, the AI offers alternatives or puts the patient on a waitlist.