Workflow
Voice AI conducts guided intake conversations, capturing demographics, medical history, symptoms, and insurance info. Staff receive structured summaries—no hand-written notes, no transcription delays.
Callers complete intake during scheduling or callback. By the time they reach your clinic, demographics are in your EHR, insurance details are captured, and your clinical staff see a structured medical history summary. No check-in delays, no 'we need to verify your insurance' loops.
Voice AI captures insurance details spoken by the caller. Photo ID is collected via secure portal link sent by SMS. Staff review and file both—eliminating the paper forms and manual data entry that slows intake and introduces errors.
A cardiology intake asks about chest pain, family history, and prior cardiac events. A physical therapy intake asks about pain location, injury mechanism, and current mobility. Voice AI is configured per specialty so callers answer relevant questions—not generic templates.
Structured intake summaries
EMR-ready formatting, staff-reviewed before filing
New patient demographics auto-synced
Name, DOB, phone written to EHR live
Insurance and ID captured on call
Returned as summary; staff verify and file
Specialty-configured intake workflows
No one-size-fits-all forms
No. Voice AI captures medical history, symptoms, allergies, and medications as structured summaries returned to your staff. Your team reviews this data for accuracy, then files it in the appropriate EHR sections. This protects clinical integrity and keeps your staff in control of what enters the official chart.
During the intake call, the AI asks about insurance provider, member ID, and group number. The caller states this information, and it's captured and returned as a structured summary to staff. For photo ID, a secure portal link is sent via SMS—the patient uploads their driver's license or insurance card, which staff review and file.
Voice AI is trained to handle uncertainty. It asks clarifying questions, accepts partial information, and flags ambiguous answers for staff follow-up. If a caller says 'I had surgery but I'm not sure when,' the AI notes this and routes the summary to staff to verify before the appointment.
Yes. Established patient calls trigger a different intake flow—focused on updates to medical history, current symptoms, or reason for visit. The AI checks your EHR for existing demographics and asks only what's changed, keeping the conversation brief.
When intake is completed on the call and patients have a clear appointment confirmation, they're more likely to remember. Additionally, structured intake data arriving before the appointment signals organization and preparedness, which can improve patient confidence and follow-through.
Workflow
Patient intake
Voice AI intake automation from first call to appointment confirmation.
Integration
EMR and EHR integrations
How intake data syncs with your EMR and what gets written live vs. flagged for review.
Customization
Configured per specialty
Specialty-specific intake workflows and call handling protocols.
See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.
