Patient Intake
During initial consultations and follow-ups, capture detailed migraine history: preventive medications, abortive use frequency, identified triggers, comorbid conditions, and prior treatments. The AI returns structured summaries for clinical review and EMR filing.
The AI asks whether the patient is on a preventive medication, how often they take it, and whether they've noticed any side effects or benefit. Staff and providers see medication adherence issues before the first visit.
Callers describe all known or suspected triggers in their own words—stress cycles, sleep disruption, hormonal patterns, food sensitivities, environmental factors. The AI captures these as a structured list for your provider to review and counsel on avoidance.
Your migraine specialist has a complete intake summary—symptoms, medication history, triggers, comorbidities—before the first appointment. No time wasted gathering baseline information during the visit.
At follow-up calls, the AI asks about preventive medication adherence, any side effect changes, and whether trigger avoidance strategies have been helpful. Providers can quickly assess treatment effectiveness.
Full migraine intake captured on every call
Frequency, severity, symptom character, impact on function, preventive and abortive medications, triggers, and comorbidities
Structured summaries for provider review
Staff receive clean, organized summaries of patient intake; no manual transcription required
New patient intake automation
Demographics and appointment details captured on the call; structured clinical summary returned for provider review before first visit
Medication compliance tracked
Preventive therapy adherence and tolerability issues documented on intake and follow-up calls
The system asks about migraine frequency per month, typical duration, pain severity (0-10 scale), associated symptoms (nausea, photophobia, phonophobia, aura), current preventive medications and adherence, abortive medication use frequency, known triggers (stress, sleep, food, hormonal, weather), prior treatments, and impact on work and daily activities.
The AI is trained to recognize concerning features like thunderclap onset, severe unrelenting pain, vision changes, weakness, numbness, or fever and flags these for immediate escalation to a provider or emergency evaluation. The AI does not make clinical decisions; it routes urgent cases to staff or providers for assessment.
The system returns a structured summary as a text document that your staff review and file into the patient chart. The provider accesses it through your EMR before the appointment, just like any intake form.
Yes. At follow-up calls, the AI asks whether the patient is still on preventive therapy, whether they've noticed any new side effects (weight gain, cognitive effects, dizziness, etc.), and whether they've considered changing medications. This information is captured in the summary for provider review.
It can. Instead of mailing or emailing a form to new patients, they call in and complete full intake over the phone. The AI captures everything, and your staff file the summary into the chart. Many practices prefer this because patients complete intake faster and providers get richer context.
See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.
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