Intake Process
Every migraine call triggers structured intake: current preventive and acute meds, trigger patterns, frequency, last dose, and related symptoms. Staff receive a ready-to-review summary with patient demographics and appointment details synced to the EMR; clinical content returned as structured text for review and chart entry.
No need to re-ask about preventive therapy, last acute dose, or trigger patterns. The intake summary is there when the patient reaches the exam room or call—faster appointments, better clinical assessment.
Intake captures frequency and current acute meds. Staff can flag if a patient is taking rescue medication too often—a sign of inadequate preventive therapy or medication overuse headache.
Intake reveals whether a patient needs urgent in-person evaluation, telehealth follow-up, or routine preventive consultation. Scheduler books the right appointment type immediately.
Understanding a patient's specific trigger profile—stress, hormonal cycle, sleep deprivation, dietary—shapes prevention strategy and lifestyle counseling during the visit.
Intake captured on every call
Medications, triggers, frequency, and related symptoms logged before staff engagement
Structured summary in plain language
Ready for clinician review and chart entry—no manual transcription
Medication effectiveness assessed
AI asks about rescue and preventive drug response to inform clinical decisions
Patient demographics and bookings synced
Name, DOB, phone number, and appointment details write to your EMR
The AI asks for current status on every call, but it's not repetitive. It asks 'Have your preventive meds changed since last time?' or 'Any new triggers lately?' and focuses on what's relevant to the current call reason—appointment booking, refill request, or acute presentation.
You configure the intake template for migraine calls. It can include: current preventive and acute meds, dosage, frequency, last dose, medication effectiveness, trigger history, and attack frequency. The AI asks in conversational sequence.
Yes. The summary is returned as structured text for staff review. Your clinical staff can correct, clarify, or add detail before they document the clinical note into the EMR. It's a handoff summary, not auto-populated documentation.
The AI can reference prior record: 'I see you're on sumatriptan and topiramate. Are you still taking both, and is anything new?' This confirms current status without re-asking from scratch—faster call and updated chart data.
No. Intake and booking happen in parallel. While the AI schedules the appointment, it's also collecting trigger and medication context. Total call time is typically 90–120 seconds for new patients, 30–60 for established callers.
Core Process
Patient intake
Full details on AI-driven intake workflows and structured data capture on every call.
Technical Integration
EMR and EHR integrations
How patient demographics, appointments, and intake summaries flow to your chart system.
Next step
Configured per specialty
What changes between specialties.
See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.
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