Condition-Specific
Preventive migraine therapy requires regular follow-up visits to assess efficacy and titrate dosing. Patients miss recall appointments. AI automates recall outreach and books follow-up visits for preventive medication review.
Patients starting a new preventive (topiramate, propranolol, CGRP inhibitor) need follow-up in 4–8 weeks to assess tolerability and efficacy. AI recalls them proactively. Without the recall, patients stop the medication or never return, and your clinic never knows if the therapy failed or was never tried.
Many preventive migraine therapies require gradual dose increases. AI tracks patients who need titration visits and calls them when it's time. Clinician reviews the titration plan with the patient in the visit, rather than playing phone tag to discuss dose increases.
AI asks about tolerability during the recall call. If a patient reports dizziness on topiramate or GI upset on propranolol, that feedback reaches the clinician before the visit, so alternatives or supportive measures can be discussed.
AI captures patient-reported migraine frequency (e.g., 'used to be 8 per month, now 3 per month on the new preventive') and returns it as a structured summary for clinician review. Clinician uses this data to guide efficacy assessment and next-step decisions.
Preventive follow-up recalls automated
Patients are called or texted at clinically appropriate intervals for medication assessment
Pre-visit screening captured
Patient-reported migraine frequency, side effects, and medication tolerance documented as a structured summary for clinician review before the visit
Urgent vs. routine routed correctly
Patients reporting worsening symptoms or intolerance triaged to urgent; stable patients book routine follow-up
Appointment details synced to EMR
Recall history and appointment booking linked to the patient record
MedReception integrates with your EMR and reads visit history and problem list. Patients with a recent preventive medication start or an open 'preventive titration' task are flagged as due for follow-up. You can also set custom recall rules (e.g., 'All patients on CGRP inhibitors see me every 12 weeks').
AI captures that response and flags it in the appointment note: 'Patient discontinued topiramate due to dizziness after 2 weeks.' Clinician sees this summary before the visit and is prepared to discuss alternatives or re-try at lower dose. The appointment becomes a medication change visit, not a routine follow-up.
Yes. AI leaves a voicemail with a friendly reminder and a link to book the appointment online, or directs them to call to schedule. AI can also follow up with text or email. If the patient doesn't respond after 2–3 attempts, the recall is escalated to your front desk to reach manually.
Yes. AI can offer both in-person and telehealth options for preventive follow-up. Patient chooses on the call, and the appointment is booked in the selected format. Telehealth works well for routine efficacy and tolerance checks.
Consent is captured at the patient's first visit or during the initial intake: 'We may call or text you to remind you of upcoming preventive medication follow-ups.' AI respects opt-out requests and do-not-call lists. Existing patients who have consented to appointment reminders are auto-enrolled in recall outreach.
Next step
AI receptionist for behavioral health practices
How call handling differs for behavioral health practices.
Next step
Automated patient scheduling
Booking, rescheduling and calendar rules the receptionist applies on every call.
Integration
EMR and EHR integrations
How AI reads EMR data to identify patients due for preventive follow-up and syncs appointment bookings back.
See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.
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