Migraine Care
Migraine patients on preventive therapy need regular check-ins to assess efficacy and side effects. Our AI reaches out to established patients, screens for migraine frequency over the past month, and routes to your neurologist if outcomes warrant a med change.
Established patients who miss follow-up often discontinue preventive meds. AI recall reaches them before adherence fails.
Structured questions on frequency, side effects, and adherence give your clinician the data needed to optimize therapy at scale.
Routine refill approvals and patient outreach happen via AI; your staff handles only chart entry and exceptions.
Patients answer brief structured questions on the phone; your clinic gets actionable data rather than missed voicemails.
Preventive efficacy screening
Frequency, side effects, and adherence captured on outbound call
Appointment and refill booking
New visits or renewed prescriptions entered to EMR per patient response
Preferred contact timing
Patient preference for follow-up method logged for next recall
Clinical summary for review
Neurologist receives structured efficacy and adherence summary for med adjustment decision
Typically 6–12 weeks after starting or adjusting a preventive medication, then quarterly or per your protocol. The AI can be scheduled to initiate calls on your cadence, with a note in the chart about the last call outcome.
The AI captures the response and routes it for your neurologist's review. The call summary shows frequency trend, current medication, and any side effects mentioned. Your clinician then decides if a med change or in-person visit is needed.
Yes. If a patient reports severe worsening, new neurological symptoms, or medication side effects during the recall, the AI can escalate the call to your clinic or offer urgent appointment booking based on your protocol.
Yes. The AI asks about each medication by name and captures adherence, side effects, and perceived efficacy for each. This helps your clinician see which component is working or causing issues.
Patient consent is documented at intake or during a previous visit. The AI uses the phone number and language preference on file. If a patient opts out during the call, that preference is logged and respected for future outreach.
Next step
Workflow playbooks
Step-by-step workflows for the calls a practice actually gets.
Next step
Behavioral health practices
How call handling differs for behavioral health practices.
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Systematic recall keeps preventive patients engaged and reduces lapsed follow-up.
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See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.
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