Workflow
New migraine patients often call with questions before their first appointment. AI reception captures full history, migraine classification, red flag screening, and current medication—then returns a structured, EMR-ready summary for your staff to review and file, with new patient demographics booked into your EMR.
Your clinician starts with full history already captured—onset, frequency, triggers, prior medication trials, family history of migraine. The visit can focus on exam, treatment planning, and patient education instead of repetitive intake questions.
The AI asks about red flag symptoms. If a new caller reports sudden severe onset, vision changes, or neurological symptoms, your clinician is flagged before the appointment. You can triage appropriately or recommend imaging upfront.
New patient demographics and appointment are in your EMR when they walk in. Staff can verify insurance, prepare forms, and clinician can review the structured intake summary—no scrambling during check-in.
The AI asks frequency of acute medication use. Patients taking analgesics or triptans >10 days per month are flagged for medication overuse headache discussion at the first visit.
New patient identification
All first-time callers routed to structured intake
Complete migraine history captured
Onset, frequency, triggers, prior treatments, family history, current meds
Red flag screening before visit
Secondary headache concerns flagged for clinician review
EMR-ready patient record
Demographics and appointment booked; structured summary ready for staff and clinician
When did migraines start? How often do you get them (per month, week)? How long does each attack last? Is there a typical pattern or are they random? What are your known triggers (stress, hormones, foods, sleep, weather)? What have you already tried—over-the-counter meds, triptans, preventives? Have they worked? Any family history of migraine? Current daily medications?
The AI asks: 'Is this headache different from your usual migraines?' 'Do you have vision changes, weakness, numbness, difficulty speaking, confusion, or fever?' 'Any recent head injury or trauma?' 'Do you have a stiff neck?' If any red flags are present, the AI documents this prominently and flags the case for clinician pre-call decision.
Yes. The AI asks how often you take acute medications (pain relievers, triptans) per week and per month. If the patient reports use on >10 days per month, the AI flags this in the intake summary as 'possible medication overuse headache.' Your clinician is alerted to discuss this at the first visit.
The AI writes the patient's name, DOB, phone number, and email to your EMR as a new patient record and books the appointment. The full intake summary—history, triggers, medications, red flags—is returned as a structured note for your staff to review and file into the chart. A confirmation is sent to the patient. Clinician sees the full case summary before the first visit.
If a new patient describes symptoms of a medical emergency—sudden severe onset ('worst headache of my life'), vision loss, weakness, confusion, fever with headache, or recent head trauma—the AI advises immediate ER evaluation and documents this in the call log. Your clinician is notified for follow-up and chart entry.
The AI typically completes new patient intake in 3-5 minutes. This includes migraine history, red flag screening, current medications, insurance information confirmation, and appointment scheduling. The caller can ask questions, and complex cases can be routed to staff for more detailed discussion.
Feature Hub
Patient intake
Learn how AI captures condition-specific history on the phone and returns it for chart entry.
Feature Hub
New patient scheduling
See how new patients are identified, screened, and booked into your schedule.
Feature Hub
EMR and EHR integrations
Understand how new patient demographics and appointment sync with your EMR, and how intake summaries are returned for staff review.
See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.
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