We often get the question from a prospect: How does Verato
match minors? The short answer is: just like every other EMPI on the market,
and often even better.
Why do we get asked this question?
Our prospects ask us this question because they know that a core
advantage of our matching process is our reference data. We manage a
proprietary, highly-curated reference database of identities spanning the
entire US. Each identity contains a complete profile of demographic data with up
to a 30-year data history — data like names, addresses, phone numbers, and
We use this reference database during the matching process
to help match records, including those with out-of-date and incomplete
demographic data that a traditional MPI could not match. See diagram below (which
of course contains fictitious data).
So why the question about minors?
Because our reference database does not contain data about
minors and some people assume that our matching technology is entirely
dependent on our reference data. But this assumption is incorrect — we can
make matches even in the absence of reference data, and we do it essentially the
same way other EMPIs do (and often do it even better).
So how does our matching technology work?
The short answer is that even in the absence of reference
data, we still make matches using our sophisticated probabilistic algorithms,
as well as with our deterministic rules that look for things like twins or
father/son Sr./Jr. similarities.
Here’s a little more information about Verato Referential
Matching, why it can handle minors, and why it is a quantum leap better than
other EMPI technologies at matching.
For 5 years now, Verato has pioneered a new matching
technology called Verato Referential Matching, and Verato is currently the only EMPI vendor on the market to offer native referential matching capabilities.
Verato’s matching technology uses a combination of:
Sophisticated probabilistic algorithms to help
with things like nicknames, typos, phonetic matching, and character
Rules-based matching to help uncover things like
twins or familial similarities (e.g. father/son Jr./Sr. similarities)
Native reference data that helps overcome
out-of-date and incomplete data. (It is important that the reference data is
native to the solution, and that the algorithms have been tuned to it…
otherwise you are effectively just throwing data at the problem and hoping that
it helps and doesn’t hurt.)
This combination means that even in cases that there is no
available reference data to help, like with minors, Verato can still make
matches using our advanced probabilistic and rules-based algorithms.
Essentially, this means we can match minor identities just as well as other
EMPIs — and often better than other EMPIs because our probabilistic algorithms
are so sophisticated. See diagram below (which, again, contains fictitious
The proof is in the pudding
Importantly, Verato Referential Matching is a technology
that is widely proven in the healthcare industry. Verato has over 50 customers
leveraging Verato Referential Matching technology to help meet their business
needs, including some of the largest and most innovative providers, payers, and
health information exchanges in the country. All of these customers care about
matching minors as well as adults.
If that’s not enough proof, consider this: Verato has frequently
gone out and improved the matching of other EMPI and EHR solutions like
NextGate, IBM Initiate, Mirth, Epic, Cerner, and others with our Referential
Matching technology. Essentially, Verato is brought in to automatically make
matches that these other technologies cannot make. We sit alongside these
technologies and resolve thousands or millions of records that they cannot
match —records that they have flagged as potential matches and set aside for
humans to review and resolve. Of course, all of these clients had minors which
needed to be resolved as well as adults.
Learn more about our technology by scheduling a demo. You can learn more
about our matching, learn why having native reference data is so
important, and see our technology at work.