EMR Integration

What gets checked in your EMR before a new record is created, and what happens on a partial match

Before creating a new patient record, the AI queries your EMR for an existing match on name, date of birth and phone number. A confident match updates the existing chart; an ambiguous one is flagged for your staff rather than guessed at.

Every new patient call begins with a lookup against your EMR on name, date of birth and phone number
A confident match updates the existing record instead of creating a second chart
An ambiguous or partial match is flagged to staff rather than resolved automatically
Callers spell their name and confirm their date of birth on the call, so the match runs on corrected data
Demographics (name, DOB, phone) write to the record that survives the match; clinical detail returns as a summary for staff review
Matching runs against existing integrations including eClinicalWorks, athenahealth, Tebra, Elation, Cerbo, Hint, ModMed, TherapyNotes, Accuro, pMD, PS Suite, and Nextech

How it pays back

The match runs on read-back data

Names are spelled out and dates of birth confirmed during the call before any lookup is judged. A match made against a misheard surname is the usual way a duplicate chart gets created; correcting first removes that path.

A close call becomes a staff decision

When the evidence is partial, the AI does not pick. It alerts your staff, who decide whether this is the same person. Ambiguity surfaces as a task rather than as a silent second record.

Fewer merges to clean up later

Duplicate charts are cheap to create and expensive to reconcile, because history splits across both. Checking at creation time keeps the reconciliation work from accumulating in the first place.

One chart, one history

When an established patient calls as though they were new, the AI finds the existing record and updates it. Your clinician opens a chart with the prior history attached, not a blank one created that morning.

New patient demographics sync to EMR on booking

Name, date of birth, and phone number automatically written; no manual chart creation needed

Clinical intake summary returned for staff review

Chief complaint, allergies, medications, and medical history in a structured format for staff to review and file

Insurance captured and available for verification

Insurance information collected on call and held in the portal for staff processing

Frequently asked questions

What does the AI check before it creates a new patient record?

It queries your EMR for existing matches on name, date of birth and phone number. If a match is found, the AI alerts staff and updates the existing record rather than duplicating it.

What happens when the match is close but not certain?

The AI flags it for your staff instead of deciding. Your team reviews the candidate record and confirms whether it is the same patient. Nothing is merged or created on a guess.

A patient calls under a nickname or a married name. What then?

The caller spells the name they are giving and confirms their date of birth during the call. If the spelled name does not line up with an existing record but the other details do, that is a partial match and it goes to your staff to resolve.

Does clinical information get written into whichever chart was matched?

No. The AI writes demographics and appointment details only. Chief complaint, allergies, medications and history are returned as a structured, EMR-pasteable summary for your staff to review and file, so nothing clinical lands in a record before a person has checked which record it is.

Can we correct a record the AI created or updated?

Yes. Synced fields (name, DOB, phone) can be edited in the EMR exactly like any manual entry, and the staff-filed summary can be revised before the first appointment.

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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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