Workflow
Manual call logging wastes time and loses clinical detail. Our AI captures trigger patterns, preventive medication adherence, and acute symptoms during intake, then returns structured summaries your team can review and file into the chart.
The AI captures the same detail your staff would gather during a callback, but on the incoming call. Your team receives structured summaries, not fragmented messages.
When you capture trigger data consistently on every call, patterns emerge: hormonal cycles, seasonal stress, dietary patterns. Your clinical team can design preventive strategies from real data.
The AI asks whether patients are taking prophylactic meds as prescribed. Low adherence to topiramate or amitriptyline is flagged so your team can address barriers during the callback.
Instead of listening to voicemails, your clinicians read a structured summary: pain 8/10, no aura, 4-hour duration, worse with light, patient missed last two preventive doses. They can make callback decisions in seconds.
Insurance companies want trigger frequency, failed treatments, and functional impact. Structured intake data provides exactly that without clinical staff writing narratives from memory.
Trigger data captured
Hormonal, dietary, sleep, stress, weather, and environmental factors logged
Preventive compliance tracked
Medication adherence and efficacy perception recorded on intake
EHR-ready summaries
Structured data that staff can review and file into patient charts
Named EMR integrations
Works with athenahealth, eClinicalWorks, Epic, Elation, Cerbo, Hint, Tebra, AdvancedMD, ModMed, and others
Hormonal cycles (if applicable), dietary changes, sleep quality, stress level, weather, caffeine intake, and any patient-identified triggers. The AI adapts the questions based on patient responses to avoid redundancy.
It asks the patient's name, dose, frequency, start date for each preventive, and then asks how many doses they missed in the past month. Low adherence is flagged for your team to address.
Yes. The AI queries prior triptans, ergots, preventives, Botox, and other interventions the patient has tried. This history is captured and returned as structured data for your team's review.
The AI returns the captured data as a structured summary that your staff reviews and files into the patient record. Your team retains control over chart documentation and can edit or add clinical interpretation.
Yes. Aggregated, de-identified trigger and treatment data can inform quality improvement projects, prior auth strategies, and preventive protocol refinement within your clinic.
Core Workflow
Patient intake
Structured intake questionnaires on every call—the foundation of migraine data capture.
Integration
EMR and EHR integrations
Returns intake data in formats compatible with named EMR systems for seamless filing.
Related Specialty
AI receptionist for pain management practices
Pain clinics use the same structured intake approach for chronic condition management.
See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.
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