- Platform
- Vouched Assure
- Matching & dedup
Vouched Assure: matching & dedup
One person. One record.
Your EMPI, master data management system or registration team finds the possible duplicates. Vouched answers the hard part, whether they’re really the same person. We vectorize the face on each flagged record, from a selfie or the photo on an ID, compare the faces and return how likely they are to be duplicates, so your team can resolve them with confidence.
Why it matters
Duplicate records are an identity problem.
When one person has two records, or two people share one, every decision built on those records is at risk.
Duplicates split the picture
History, balances or care get divided across records, and no one sees the whole person.
the average cost of repeated care per inpatient stay when a patient has duplicate records, and more than $1,700 per emergency department visit.
Source: Black Book Research, 2021more likely to die in hospital: patients with duplicate records, compared with patients who have one record, across 12 U.S. hospitals.
Source: BMJ Group study, 2026Overlays mix two people
When two people’s information lands in one record, the consequences can be serious, especially in healthcare.
ECRI named patient misidentification one of the top 10 threats to patient safety. When two people’s information lands in one record, clinicians can act on the wrong allergies, medications or results.
Source: Altera Digital Health, citing ECRI, 2024Duplicates hide fraud
Repeat sign-ups and second accounts are a common way to get around limits and checks.
of account creation attempts worldwide were flagged as suspected fraud in 2025, up 18% from the year before, as fraud rings turn one playbook into dozens of accounts.
Source: Sift data via NHIMG, 2025How it works
You flag the records. We tell you if they’re the same person.
Your system flags them
Your EMPI, master data management system or registration team identifies records that may belong to the same person, like Jonathan Reyes and Jon Reyes.
You send the records
Each flagged record goes to Vouched with the selfie or ID image it already holds. The records don’t need to have been verified with Vouched.
We compare the faces
Vouched vectorizes the face on each record, from a selfie or from the photo on an ID, and compares the faces, not the names and addresses someone typed.
You get a likelihood response
A response on how likely the records are duplicates, so your team can merge them, keep them apart or look closer.
What you get
Confidence for the decision only identity can settle.
Grounded in the face
The response rests on the faces on the records, from selfies or ID photos, vectorized and compared, not on similar-looking details.
Sees through typed differences
Nicknames, spellings and new addresses don’t hide a match when the face is the same.
Flags likely overlays
When the faces don’t match, the response says so, so two people aren’t merged into one record.
Your team decides
Vouched returns the likelihood. Your rules and your team decide whether to merge.
Works with your system
Use it alongside the EMPI, master data management or registration workflow that already flags possible duplicates.
Built for regulated records
Held to the same security and compliance standards as the rest of the platform.
Where it’s used
Built for the industries fraudsters target first.
Health systems
Confirm whether patient records your EMPI flags as possible duplicates belong to the same patient.
Health systems →Financial services
Confirm whether accounts flagged as possible duplicates belong to the same customer.
Financial services →Telehealth
Confirm suspected duplicate patient records as patients return across devices and addresses.
Telehealth →More in Vouched Assure
Every moment after the front door.
FAQ
Matching & dedup, answered.
Straight answers about matching and dedup with Vouched Assure.
Contact us with a questionWhat does Vouched do for duplicate records?
When your system flags records that may belong to the same person, Vouched vectorizes the face on each record, from a selfie or the photo on an ID, compares the faces and returns a response on how likely they are to be duplicates. Your team then decides how to resolve them.
Does Vouched find duplicate records?
No. Your EMPI, master data management system or registration team identifies possible duplicates. Vouched comes in after that, to tell you whether the flagged records are likely to belong to the same person.
What does Vouched need to review possible duplicates?
A selfie or an ID with a photo on each flagged record. The records don’t need to have been verified with Vouched: we vectorize the face, from the selfie or the ID photo, and compare the faces across the flagged records.
Can Vouched compare a selfie on one record with an ID photo on another?
Yes. Vouched vectorizes the face from whichever image each record holds, a selfie or the portrait on an ID, so a selfie on one record can be compared with an ID photo on another.
What response does Vouched return?
A response on the likelihood that the flagged records are duplicates, based on whether the vectorized faces on the records match.
Does Vouched merge records?
No. Vouched provides the likelihood of duplication, and your team or your system decides whether to merge the records.
Why compare faces instead of the record details?
Typed details drift: nicknames, typos and new addresses split one person across records, and similar details can make two different people look alike. A face is much harder to mistake, so it’s the strongest evidence of whether two records belong to the same person.
What is a duplicate patient record?
It’s when one patient has two or more records in a health system, often created through a nickname, a new address or a second registration. It splits their history across records.
What is a patient record overlay?
An overlay is when two different people’s information ends up in one record. It’s the opposite problem to a duplicate, and in healthcare it can affect care. When the faces on two flagged records don’t match, Vouched’s response says so, which helps keep them apart.
What do duplicate patient records cost?
Black Book Research’s 2021 survey found repeated care caused by duplicate records costs an average of $1,950 per inpatient stay and more than $1,700 per emergency department visit. A 2026 BMJ Group study of 12 U.S. hospitals found that patients with duplicate records were almost five times more likely to die in hospital.
Who uses duplicate record review?
Health systems resolving duplicate patient records flagged by their EMPI, financial services firms confirming possible duplicate customer accounts, and telehealth providers keeping one record per patient.
How do I get started?
Talk to sales about duplicate record review for the records you hold.