Workflow
IVR collects limited information through rigid prompts and voicemail. AI receptionists ask follow-up questions, understand context, and return structured intake ready for staff review and EMR entry—all while the patient is on the call.
The AI listens to how the patient describes their concern and asks targeted follow-up questions. If a patient mentions 'joint pain,' the AI asks about onset, severity, and prior treatment—capturing context that rigid IVR prompts miss.
Name, date of birth, phone, and demographics are captured and written to your patient record. Intake summary—chief complaint, relevant history, red flags—is formatted and returned to staff for review and clinical note entry. No manual transcription, no data re-entry.
If a new patient reports severe pain or alarm symptoms, the AI escalates to your on-call provider or urgent care line immediately. IVR voicemails sit unheard during after-hours.
AI receptionists don't just capture intake; they schedule new patients into available slots while they're on the call. IVR leaves new patients in a callback queue that staff never gets to, or takes days to call back.
Structured intake on every new patient call
Name, DOB, phone, chief complaint, and history captured and formatted for staff review
New patient records created automatically
Demographics written to your practice management system in real time
Urgent new patients escalated immediately
Red flags identified and routed to clinical staff or on-call provider without delay
Appointments booked same-call
New patients hang up with a confirmed slot; no separate callback needed
IVR asks scripted questions ('Please state your date of birth' or 'Press 1 for new patient'). Callers often state information incorrectly or get confused. AI receptionists listen to natural speech, confirm what they heard, and ask contextual follow-ups if something is unclear. The result is more accurate, complete data.
Yes. The AI captures name, date of birth, phone number, and other demographics, then writes them to your practice management system. A new patient record is created in real time. Clinical staff receive a structured summary of the patient's chief complaint and relevant history for immediate review.
The AI captures insurance information on the call—plan name, member ID, group number—and returns it in the intake summary. Your front desk staff review it, verify coverage, and file it in the patient record. Insurance data is captured for staff verification and filing; it is not written directly to the EMR.
Significantly. The AI captures demographics, chief complaint, and health history during the call. Your patient portal can then ask the new patient to review and electronically sign the intake before their appointment, eliminating paper forms in the waiting room.
The AI captures it in the intake summary and flags it for clinical review. Staff read the summary before the appointment and add the allergy to the patient's record. The AI returns clinical data in a structured summary for staff review and filing; staff decide what enters the patient's medical record.
Workflow
Patient intake
Explore how AI receptionists structure new patient data for staff review and EMR entry.
Use Case
New patient scheduling
Learn how AI receptionists convert new patient calls into booked appointments in real time.
Technical
EMR and EHR integrations
See which practice management systems the AI writes new patient records and demographics to.
See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.
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