Call Recovery
When calls go unanswered, you lose not just the appointment but the patient's intake information—reason for visit, contact details, insurance member ID—and you start from zero if they call back. AI receptionists answer every call and capture intake, converting near-misses into booked, data-ready appointments.
If a patient tries to reach you and can't get through, the AI captures their information and request. Even if they don't book, you know they called and can proactively reach out.
Intake is captured once and retained. If a patient calls back or a staff member needs to reach them, the full context is available—reducing frustration and improving experience.
Every intake attempt is logged and summarized. Staff can see what was captured, who called, and what they needed, eliminating the 'Did we ever talk to this person?' question.
Phone number, name, reason for visit, and appointment history captured on the first call—even if the appointment is delayed. No need to collect this information twice.
Every call answered
Intake data captured regardless of call volume or time of day
No information lost
Call transcript and structured summary retained for future reference
Callback context preserved
If patient calls again, AI references prior call and intake data
Urgent issues escalated
Symptoms or concerns flagged during intake for immediate staff attention
The call and intake summary are logged. If that patient calls back later, the AI recognizes them and references the prior call. Your team can also proactively reach out (e.g., 'Hi Jane, we received your call on the 15th about knee pain—let's get you scheduled').
The intake summary is captured and returned as a structured, pasteable summary for your team to review. If the patient is new, your team creates the record and files the intake. If the patient already exists in your EMR, the summary can be attached to their chart for context. Appointment bookings and patient demographics (name, DOB, phone) write directly to your EMR; intake details are presented for staff review and filing.
Absolutely. If a patient called but didn't complete booking, your team can call them back with their name and reason for visit already known. This shows attentiveness and dramatically improves their likelihood of scheduling.
If the AI can't answer (rare), the patient hears a brief greeting and voicemail option. The AI's job is to answer first and eliminate the need for voicemail. But if it happens, you still have the voicemail as a backup.
Yes. When an established patient calls, the AI can pull up their appointment history and prior intake to understand context. This reduces the need for the patient to re-explain their situation.
See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.
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