Neurology
Migraine preventive therapies require regular follow-up to assess efficacy and adjust dosing. AI reception makes outbound follow-up calls, captures efficacy data and side effects, and flags patients not responding to therapy or due for interval injections—keeping patients engaged and supporting your clinical team's treatment decisions.
Patients don't forget Botox appointments or lose track of whether their preventive is working. Automated recall calls keep them accountable and engaged in their own care.
Instead of asking 'How's your migraine?' at a visit, you already have structured data: headache frequency before and after, side effects, impact on function. Your clinician can review and adjust therapy accordingly.
If a patient reports little improvement on preventive therapy after 8 weeks, your clinical team gets flagged to escalate or switch agents instead of waiting months for a routine visit.
Real-time follow-up data and structured compliance tracking support your clinic's ability to track outcomes and quality metrics.
Efficacy data standardized
Structured questions capture headache days, pain scale, medication use, and quality-of-life changes
Non-responders flagged for clinical review
Patients not improving on preventive therapy trigger alerts for dose adjustment or agent switch
Compliance barriers surfaced
Cost, side effects, and access issues are documented and escalated for clinical intervention
The AI checks your EMR for last Botox injection date. At 12 weeks (or your clinic's standard interval), it initiates an outbound call to confirm the patient is due, assess current efficacy, and book the next injection appointment. If the patient reports significant improvement and wants to continue, the appointment is booked. If efficacy is borderline, it flags the call for your clinician to review.
The AI asks: 'How many migraine days did you have this month?' (vs. baseline), 'What's your pain level on a 0-10 scale?' 'How many days did you use a triptan?' 'Are you still having aura?' 'Has the migraine affected your work or family time?' Answers are captured as a structured summary your clinician reviews before the next visit or medication adjustment.
The AI captures the specific side effect (e.g., weight gain, cognitive effects, muscle weakness) and severity. It escalates the call to your clinical team immediately, along with the patient's context and current medication list. Your clinician can then decide whether to adjust dose, switch agents, or wait and reassess.
Regular check-ins from your clinic remind patients that their care is being monitored and adjusted. Patients know they'll be asked how their medication is working, which often motivates them to take it as prescribed and report any issues early.
Yes. If a patient reports side effects, cost barriers, or lack of perceived benefit during a follow-up call, the AI flags the interaction for your clinician to prioritize and potentially intervene—e.g., by discussing side effect management, exploring samples or copay programs, or trying a different agent.
See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.
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