Workflow

Route migraine calls by urgency and clinical type, ensuring acute emergencies reach providers while routine requests are queued efficiently

Not all migraine calls are emergencies. An intelligent triage protocol routes status migrainosus and migraine complications directly to providers, preventive refills to clinical staff, and appointment requests to schedulers—reducing provider interruptions and improving first-call resolution.

How it pays back

Providers interrupted only for true emergencies

Your providers are not woken by routine refill requests or scheduling questions. Only genuine clinical emergencies (status migrainosus, neurologic complications) trigger a provider alert, dramatically reducing on-call fatigue.

Routine requests processed faster

Preventive refills, follow-up questions, and appointment requests are routed to the appropriate staff member without provider involvement, enabling faster resolution and improving patient satisfaction.

First-call resolution improves

When a call is routed to the right person (scheduler, clinical staff, provider) on the first attempt, patients get answers immediately instead of being transferred or told to call back.

Clinical decision-making is faster and safer

Whether the call goes to clinical staff or a provider, the routing system has already captured pain severity, medication list, and comorbidities. The clinician answers informed and makes faster, safer decisions.

Call patterns inform clinic staffing and protocols

Over time, you see which types of calls come in, when they peak, and what resolution they require. Use this data to optimize staff scheduling, protocol updates, and on-call coverage.

Acute emergencies identified and escalated

Provider alerted with full clinical context

Routine requests routed to appropriate staff

No unnecessary provider involvement

Call context captured before routing

Pain level, meds, comorbidities available on first contact

Non-urgent calls queued and batched

Staff process similar requests in order for efficiency

Frequently asked questions

What criteria does the AI use to identify a migraine emergency that requires immediate provider escalation?

Emergency criteria include: sudden worst headache of life (thunderclap onset), status migrainosus (continuous migraine >72 hours despite treatment), migraine with focal neurologic deficits (weakness, visual field loss, aphasia), uncontrolled vomiting or signs of dehydration, fever plus migraine (possible meningitis), or patient report of 'something feels very different.' Any of these triggers immediate provider alert.

How does the system route a call for a preventive medication refill?

The AI recognizes the request as a refill (patient says 'I need more of my topiramate'), confirms the medication and dosage, checks last refill date, and routes to clinical staff for review. Clinical staff can approve refills within standing orders or flag for provider review if the pattern seems unusual (e.g., too-frequent refills suggesting overuse).

What happens if a patient calls with a question about their preventive medication side effects?

The AI captures the side effect (e.g., weight gain, cognitive fog, tingling) and routes to clinical staff for initial assessment. If the side effect is mild and managed, staff can offer support. If serious or the patient wants to discontinue, it is escalated to the provider for a treatment change discussion.

Can a new patient appointment request be handled by the triage system?

Yes. If a caller is a new patient, the AI routes them to your scheduling queue and collects migraine history and contact info. Your scheduler books the appointment, completes intake details, and ensures the new patient is set up for success at the first visit.

How does the AI learn and refine its triage protocol over time?

Your clinical team reviews call logs and triage decisions regularly. If certain calls are being misrouted (e.g., a side-effect question that should have gone to clinical staff went to the provider instead), your team can adjust the protocol and retrain the AI. This creates a feedback loop that improves accuracy.

Related reading

Bring this to your practice

See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.

Want the numbers first? See plans and pricing