IdentiMatch™ uses your specific business rules to automate match/no-match decisions, reducing manual data integrity tasks by up to 90%.
Get StartedIdentiMatch™ uses your specific business rules to automate match/no-match decisions, reducing manual data integrity tasks by up to 90%.
Get Started
We intake the manual near-match worklist from your current MPI

Our process applies your specific business rules to resolve ~90% of these records

Your team can focus on just the exceptions that actually require human review
Protect data integrity during mergers and EHR migrations
Reduce backlogs without increasing headcount
Ensure clean billing data before it hits the revenue cycle
We put together a short benchmarking report built from AHIMA, Ponemon, and CHIME research, that lays out the real state of MPI automation in 2026 – industry duplicate rates, the cost of manual cleanup, clinical and financial risk data, and how automation changes the math.
If you have an EHR migration or upgrade coming or your leadership team is weighing where to invest in data quality this year – this is the resource to put in front of them.

Merge populations quickly without sacrificing accuracy
Ensure clean, consistent data before go-live
Keep records clean and compliant over time
Maintain longitudinal views and avoid false matches

During a major hospital merger, Boston Medical Center faced a critical deadline to reduce its Epic-generated work list from 9.8% to below 3%—or risk missed go-live dates and costly penalties. Using 4medica's MPI and IdentiMatch™, the team reduced unmatched patient records to 2.6% in under one month, eliminating 177,000 duplicates.



Preparing for a MEDITECH upgrade, Grand River Health faced a massive backlog of duplicate records and no automated interface to merge them. Rather than hiring staff for manual cleanup, they utilized 4medica's Worklist Automation as a Service. We autonomously cleared the entire queue, delivering a pristine patient roster for go-live.

"Almost too good to be true!"
— Boston Medical Center
"They cleared our entire backlog without hiring any additional staff."
— Grand River Health
Eliminate the Manual Near-Match Review Bottleneck in your patient data without the overhead.

At Boston Medical Center and Grand River Health, we embedded alongside the HIM team as an extension of their operation – freeing data stewards from gray-zone work so they could focus on the tasks that actually need a human eye.
We'd love 30 minutes of your time to hear where your bottlenecks are and we'll share what we’re seeing across similar organizations. If IdentiMatch isn't the right fit, we'll tell you. That's the kind of partner we are. No hoops. No commitment. Fill out the short form below and we'll be in touch.
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