Patient Onboarding
When a new patient calls, voice AI captures their demographics during the call and writes name, DOB, phone, and address directly to your EMR. Your staff opens the chart already populated, ready for the visit.
AI captures details once. By the time a staff member picks up (or the patient arrives), the demographic section of the chart is complete. No re-asking for name, date of birth, or phone number.
Patient calls, gives demographics, explains reason for visit, and books an appointment—all in one call. Your staff confirms the booking the next morning; the patient never gets a "we'll call you back" message.
New patient demographics are auto-populated in the EMR. Staff time spent on data entry drops immediately. Team focuses on chart review, prior authorization, and insurance verification instead of manual record creation.
Clinical intake (reason for visit, symptom duration, relevant history) returns as a structured summary. Insurance info is captured separately in the portal. Your staff reviews both before the patient's visit, not during check-in.
New patient created in EMR automatically on first call
Demographics and appointment sync; chart is ready before your staff review
Zero re-entry of patient name, DOB, or phone
AI captures once, EMR stores directly, no manual typing by front desk
Appointment confirmation on the same call
Patient leaves with a booked visit; no callback required
Structured clinical intake ready for staff review
Reason for visit, symptom details, and relevant history organized before the visit
Yes. The AI asks for insurance details (member ID, group number, carrier) during intake. This information is captured and stored in the MedReception portal for your staff to verify with the carrier and enter into your billing system. Insurance data is not auto-populated into the EMR chart; your team handles verification and entry.
The AI confirms information before writing to the EMR. If something is unclear, the AI asks for clarification immediately. If the patient can't provide a detail (e.g., date of birth), the AI notes it and your staff can contact the patient before the visit or collect it at check-in.
Yes, if EMR integration is enabled. The AI can check for duplicates (same DOB, similar name) before creating a new patient record. If a match is found, the AI alerts your staff instead of creating a duplicate.
Clinical details are returned as a structured summary—not auto-populated into the chart. Your staff reviews the summary, determines the chief complaint and medical history details that belong in the chart, and files them. This ensures a clinician reviews and approves the information before it's part of the medical record.
No. Photo ID and driver's license information are not captured by the AI. If your practice requires ID verification, the patient provides that at check-in. The AI focuses on demographics, contact info, and reason for visit.
After-hours, the AI captures new patient information and the appointment request. Both are queued in the MedReception portal for your staff to review and confirm when you open. New patient records are created once your staff confirms the booking in the morning.
Topic
Patient intake
Voice AI captures new patient demographics and clinical intake, structured for EMR entry by staff.
Topic
EMR and EHR integrations
See which EMR systems support direct new patient creation and demographic sync.
Insight
Phone accessibility and patient acquisition growth
Every answered call is an opportunity to convert new patients; voice AI captures all of them.
Topic
Front desk workload
AI-handled new patient intake reduces front desk data-entry load significantly.
See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.
