Technical
When a new patient calls an interventional pain clinic, the AI receptionist captures their name, date of birth, phone, and contact details and writes them to your EMR as a new patient record. Your clinical team has a starting point with demographics pre-populated—no manual data entry, no duplicate records, faster intake.
When a new pain patient arrives for their first appointment, their name, date of birth, contact details, and appointment are already in your EMR. Your clinical staff doesn't spend time copying data from a paper form or phone note—they start with demographics pre-populated and a structured intake summary ready for review.
The AI checks your EMR before creating a new record. If a similar name or phone number exists, it flags it for your staff to verify. This prevents the downstream mess of duplicate charts, split records, and billing confusion.
The AI collects policy number, group ID, and subscriber name during the phone call. This is returned to your authorization team as a structured summary, so your staff can enter it into the insurance field and pre-auth can begin immediately—not after the patient arrives and hands you a card.
Chief complaint, pain location, onset, prior treatments, current medications, and allergies are captured on the call as a structured summary. Your clinical staff reviews this, adds their clinical assessment, and files it into the chart. No dictation, no transcription delays.
Your staff reviews the AI-captured summary and demographics, adds their clinical assessment, and documents. This is faster than traditional intake and reduces the training burden on new front-desk staff.
New patient demographics written to EMR
Name, date of birth, phone, contact method auto-populated during call
No duplicate records
AI verifies patient is new before creating record
Appointment booked and synced
Calendar entry appears in your scheduling system in real time
Structured intake summary returned
Chief complaint, medications, allergies, and insurance ready for staff review
Named EMR integrations
eClinicalWorks, athenahealth, AdvancedMD, Cerbo, Elation, Hint, Tebra, ModMed, and more
Demographics only: first name, last name, date of birth, phone number, contact email, and preferred contact method. Insurance information, chief complaint, medications, and allergies are captured on the call and returned as a structured summary for your staff to review and file into the chart—your clinical team controls the clinical documentation.
The AI checks your EMR and recognizes they're an existing patient. It updates their contact details if needed and books them as a follow-up appointment, not a new patient record. This prevents duplicates.
No. Insurance information is captured on the call and returned to your staff as a structured summary. Your team enters it into the insurance field in your EMR or your portal so that claims are coded correctly. This ensures you maintain control over insurance data accuracy.
Yes, but MedReception handles this. During onboarding, we authenticate your EMR account and establish the data sync. Your IT team doesn't need to do custom coding. We support named major EMR systems with integrations established during onboarding.
Contact MedReception to discuss. We have deep integration with our named EMR systems and can often extend support for other platforms. If your EMR has a secure API, integration is typically feasible.
See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.
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