Workflow
Interventional pain practices receive referrals from PCPs and specialists but don't know if the patient is actually ready for your procedures until staff makes time for a call. MedReception pre-screens referrals: calls the patient, confirms pain history and prior treatments, and books only those who are likely candidates. Unqualified referrals get staff guidance instead of a wasted appointment slot.
Referrals are pre-screened before booking. Patients who aren't candidates for intervention are identified early and offered appropriate alternatives. Your schedule stays full with patients ready to proceed.
AI pre-screen happens automatically after the referral arrives. By the time your intake coordinator sees the patient list, the unqualified referrals have already been triaged and directed appropriately. Staff focuses on clinical prep, not weeding out referrals.
Patients have already described their pain, confirmed their medical history, and understand what to expect. When they arrive for the visit, pre-op intake is verification, not discovery. Your clinical team can spend time on assessment, not re-interviewing.
You can provide the referring provider with quick acknowledgment and status: 'patient screened and booked,' 'patient needs imaging first,' or 'not a procedure candidate—consider [alternative].' Faster turnaround strengthens referral relationships.
New referrals pre-screened
Pain history and prior treatment status confirmed before booking appointment
Unqualified referrals identified
Patients not ready for intervention are triaged to alternatives before wasting a slot
Booking details completed
Contact info, insurance, imaging status, and clearance needs captured on the referral call
Referral source documentation
Referring provider information and clinical context logged in your chart for follow-up
Staff uploads the referral note (PDF or fax) or enters referral details into the MedReception portal. AI reads the referral, identifies the patient phone number, and places an outbound call to confirm details and screen eligibility.
AI logs the attempt. Your staff can retry the call or the patient can be called back during business hours. If urgent, your team can follow up manually. All attempts and outcomes are tracked in the patient record.
You can configure the workflow either way: AI books qualified patients automatically (with staff confirmation), or AI summarizes findings and staff manually books. Most practices prefer AI auto-booking with staff spot-check.
AI captures that need and flags it in the call summary. Your team can relay pre-requisites to the patient, or place them in a 'pending clearance' workflow with automated reminder callbacks to check status.
The AI confirms pain history and prior treatments, but does not provide detailed procedure explanation. Your staff or a clinical nurse line handles procedure education during pre-op phone screening. AI's job is to assess readiness; clinical team educates.
Your team sends a brief clinical note to the referral source after the first visit or procedure: 'Patient screened and scheduled for epidural steroid injection,' or 'After discussion, conservative management recommended first.' AI generates the referral data; staff writes the clinical response.
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
