Workflow

AI captures preventive medication refill requests and logs them for staff action

Migraine patients on preventive therapy call regularly for refills. AI answers the call, confirms medication and dosing, captures any new side effects or concerns, and creates a task for staff—no voicemail tag required.

Identify the call as a refill request and ask which preventive medication (propranolol, topiramate, amitriptyline, CGRP monoclonal, etc.)
Confirm current dose and ask about side effects, efficacy, or new symptoms since last refill
Record whether patient wants the same prescription or mentions needing adjustment
Create structured task for staff: 'Patient X requests refill of propranolol 40mg daily. Reports occasional dizziness. Ready for clinician review.'
Route routine refills to staff workflow without provider interruption; flag any side effect concerns for clinician review

How it pays back

Refill Requests Don't Require Clinician Voicemail

Routine preventive refills are common and predictable. AI captures the request, medication, and dosing, then logs a task for staff to process. Clinician sees only refills with side effects or dose-change requests.

Side Effects and Efficacy Concerns Surfaced Early

Each refill call is an opportunity to ask 'How is the medication working?' AI captures side effects (weight gain, cognitive dulling, mood changes) in a structured summary for staff review, so patterns can be flagged for clinician discussion with the patient.

Dose Adjustment Requests Captured Before Clinician Call

Patient says 'I think I need a higher dose' or 'This is making me too dizzy.' AI records the request and symptoms in detail, so when the clinician reviews it, they have full context without needing to call the patient back.

Continuity of Care in the Chart

Each refill interaction is logged as a structured note. Over time, you see efficacy trends, side effect patterns, and medication changes in one place—useful for annual reviews or specialist referrals.

Preventive refills processed without voicemail

Routine requests logged directly to staff workflow

Side effects and efficacy tracked

Patient feedback on medication performance captured each call

Dose adjustment requests pre-documented

Symptoms and requests logged for clinician review prior to contact

Medication history maintained

All refill interactions stored for pattern detection

Frequently asked questions

How does AI know which preventive medication the patient is on?

AI pulls the patient's current medication list from your EMR when it recognizes the caller's phone number. AI then confirms 'I see you're taking propranolol—is that what you're calling to refill?' This speeds up the call and reduces errors.

What if the patient mentions a side effect that needs immediate attention?

AI is trained to identify concerning side effects (e.g., mood changes with topiramate, cardiac symptoms with propranolol) and flag them for immediate clinician review. Depending on severity, AI can offer to transfer the call to clinical staff or prioritize the task.

Can the AI authorize routine refills automatically?

No. Refill authorization is a clinical decision. AI captures the request and any relevant patient feedback, then creates a task for your clinician to review and authorize. This keeps clinical oversight in place.

What if a patient on a preventive is also having acute attacks?

AI asks about acute breakthrough migraines during the refill call and logs the frequency and trigger info. This signals to the clinician that the preventive may need adjustment or that acute rescue medication should be reviewed.

How is the refill request logged for staff?

AI returns a structured summary: 'Patient X called for refill of propranolol 40mg daily. Reports good efficacy, occasional dizziness. Requests same dose. Ready for clinician authorization.' This summary appears in your staff task list for review and filing.