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Pain clinics lose new patient appointments to slow intake processes. AI captures history and insurance data on the phone, then books the first available slot.

New pain patients need to provide medical history, insurance, pain questionnaire, and imaging references before scheduling. Manual intake delays bookings and creates friction. MedReception AI completes intake and confirms the appointment in one call.

How it pays back

New patients are booked before they hang up

No "we'll call you back with availability." AI completes intake and confirms the first available slot in one call. Patients get instant appointment confirmation and next-step instructions.

Insurance pre-screening prevents no-shows and post-visit billing issues

Patients confirm coverage and out-of-pocket expectations on the intake call. Your billing team isn't surprised by coverage gaps later. High-risk insurance cases are flagged for staff review.

New patient chart is ready before the first visit

Intake summary (pain history, prior treatments, current meds, imaging references) is returned as a structured note for your clinical team to review and file. Your clinician has context before the patient walks in the door.

Pain questionnaire and pre-visit prep sent automatically

After booking, AI sends the patient a link to your pain questionnaire and pre-visit checklist. Patients arrive better prepared; appointments run on time.

New patients booked on first call

Intake completed, appointment confirmed, no callback needed

Insurance verified before visit

Coverage and patient responsibility discussed; high-risk cases flagged

Intake summary ready for clinician review

Pain history, medications, and prior procedures captured and returned as structured note

Pre-visit prep automated

Questionnaire, imaging checklist, and payment expectations sent instantly

Frequently asked questions

What pain history questions does the AI ask?

The AI asks about pain onset (acute vs. chronic), severity (0-10 scale), location and radiation, prior treatments (medications, procedures, physical therapy), and functional impact (work, sleep, daily activities). Responses are captured and returned as a structured summary for your clinician to review.

How does the AI collect insurance information over the phone?

The AI asks for insurance provider name, member ID, and group number. It also asks about coverage for interventional procedures, prior authorization requirements, and patient cost-sharing (copay, deductible). The information is returned as a structured summary for your staff to verify against the patient's insurance card and eligibility system.

Does the AI ask about prior imaging or procedures?

Yes. The AI asks where imaging was done (hospital, imaging center, other clinic), what was imaged (MRI, CT, X-ray), and whether reports are available. It also asks about prior procedures (injections, ablations, other interventions). This information is flagged in the intake summary so your clinical team can request records if needed.

What if a new patient has a complex pain history?

The AI captures the history in a structured conversation and returns a comprehensive summary. Complex cases are flagged for staff follow-up if additional intake is needed before the first visit. Your clinician can review the summary and call the patient if clarification is required.

Does the new patient record sync to the EMR immediately?

Patient demographics, insurance information, phone number, and appointment are created in the EMR in real time. The intake summary (pain history, medications, prior procedures) is returned as a structured note that your staff can review and file into the chart.

What if the patient's insurance has pre-authorization requirements?

The AI flags authorization requirements in the intake summary. Your staff verifies authorization status and reaches out to the patient if pre-authorization is needed before the appointment. The patient is informed of any delays during the initial call.

Related reading

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New Patient Intake for Pain Clinics: Book on the First Call | Medreception AI