Referral Intake
When a referring provider sends a patient with 'back pain with right leg weakness,' the AI captures the full clinical picture on the intake call. Patient demographics and appointment details sync to your EMR. Symptom details, prior imaging, and treatment history are captured and returned as a structured, EMR-pasteable summary for your staff to review and file—chart preparation begins before they arrive.
Patient calls once. AI captures demographics, symptom details, prior care, and imaging history. Check-in staff sign the patient in; your provider reviews a structured intake summary, not a blank chart.
Name, DOB, phone, and appointment time are synced to the record. Your front desk scans the insurance card; clinical staff review the symptom summary provided by the AI for filing into the chart.
Reason for referral, suspected diagnosis, and prior workup are captured and included in the summary. Your provider doesn't have to call the referring office to understand the case.
Because intake is done, your provider can focus on exam, imaging decisions, and treatment planning—not re-questioning the patient about the same symptoms.
Referral details captured on intake call
Reason for referral, clinical question, and prior workup documented
Patient demographics synced to EMR
Name, DOB, contact, and appointment details populate on booking
Clinical summary EMR-ready
Symptom onset, location, radiation, weakness, and imaging history in structured format for staff review and filing
Named EMR integrations
Seamless sync across athenahealth, eClinicalWorks, Epic, Elation, Cerbo, Hint, Tebra, AdvancedMD, ModMed, and others
No. The AI captures the reason for referral from the patient's intake call and notes it in the summary. Your staff or provider reviews it and reaches out to the referring office if additional context is needed.
The AI documents this: 'No prior imaging.' Your provider uses the intake summary and exam to decide whether imaging is needed before or after the first visit.
If the patient has tried physical therapy, injections, or medications, this is captured and helps your provider avoid redundant care and decide on the next step (e.g., if PT didn't work, consider imaging and possible intervention).
Yes. The patient provides it during intake, and it's included in the summary so your staff can easily send back results or updates to the referring office.
The AI flags it prominently in the summary (e.g., 'NKDA' or 'Allergy: NSAIDs'). Your staff or provider reviews it before the visit, preventing medication errors.
See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.
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