Integration
Integration changes the shape of front-desk work rather than removing it. The daily rhythm of the review queue, how urgent calls jump it, what happens to a booking when the EMR is unreachable, and how a mistyped phone number gets corrected.
Instead of a stack of voicemails to return, your team opens a list of structured summaries, each already attached to a patient and an appointment. The work is read and file, not listen and re-type.
Chest pain, severe bleeding, an allergic reaction — these escalate to staff while the caller is still on the line, instead of waiting for somebody to work down the summary list. Your team triages rather than discovers.
Calls are answered and bookings taken while the EMR is unreachable, then written when it returns. Staff are notified of any sync failure, so nothing depends on somebody noticing a gap in the calendar days later.
A wrong digit is usually caught when the AI reads it back to the caller. If it is not, staff update the EMR directly. Either way the change is audited and timestamped, so the record shows what was captured and what was corrected.
Appointments sync to EMR same-day
No re-entry; no scheduling gaps
New patient data writes directly to chart
Name, DOB, phone; clinical data reviewed by staff
Named EMR integrations
athenahealth, eClinicalWorks, Epic, Elation, Cerbo, Hint, Tebra, AdvancedMD, ModMed
Urgent calls escalated in real time
Staff sees flag before summary is filed
They work a review queue. Appointments, new patient names, dates of birth and phone numbers are already in the EMR. What is waiting is a list of structured summaries — history, allergies, medications, symptoms, insurance — to read, verify and file. The task shifts from transcription to review.
The AI still answers the call and still books the appointment. The data is queued and syncs once the EMR is back online. Your staff are notified of any sync failures so they can follow up manually. No calls are lost because the chart was unreachable.
Urgent calls and medical flags trigger real-time escalation rather than a delayed summary. The caller is not left on hold and the flag does not sit in a backlog: your team sees it before the summary is filed and can triage immediately.
The AI repeats the information back to the caller for verification, which catches most errors on the call. Where a correction is still needed afterwards, staff update the EMR manually or the call flow can be re-triggered. Any change is audited and timestamped.
No. Appointments, new patient names, dates of birth and phone numbers write directly. Medical history, allergies, medications and symptoms are returned as a structured summary for staff to review and file, which keeps your clinicians in control of what the chart says.
It scales with call volume and with how much of your intake is clinical rather than administrative, so measure it on your own queue for a week rather than trusting a benchmark. Give it a named owner per shift — summaries that belong to everybody get reviewed by nobody, and the point of the queue is that nothing waits in it long.
Integration
EMR and EHR integrations
See all named EMR systems that MedReception integrates with and how data flows into your chart.
Next step
What it connects to
The systems the receptionist connects to.
Next step
Workflow playbooks
Step-by-step workflows for the calls a practice actually gets.
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See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.
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