Robert Smith 1234 Main St DOB: 3/15/78 Bob Smith 1234 Main Street DOB: 3/15/78 Bobby Smyth 1234 Main St DOB: 15/3/78 Elizabeth Johnson 567 Oak Ave DOB: 7/22/65 Liz Johnson 567 Oak Avenue DOB: 7/22/65 Beth Johnsen 567 Oak Ave DOB: 22/7/65 Michael Williams 890 Cedar Rd DOB: 11/8/82 Mike Williams 890 Cedar Road DOB: 11/8/82 IdentiMatch™ RULES CONSOLE EXCEPTION LIST OUT <5% RESOLVED MERGES >95% Worklist reduced ~90%

Eliminate 90%
of Your
Manual MPI Worklist

IdentiMatch™ uses your specific business rules to automate match/no-match decisions, reducing manual data integrity tasks by up to 90%.

Get Started

Eliminate 90%
of Your
Manual MPI Worklist

IdentiMatch™ uses your specific business rules to automate match/no-match decisions, reducing manual data integrity tasks by up to 90%.

Get Started
IdentiMatch™ IdentiMatch™ RULES CONSOLE RESOLVED >95% Worklist reduced ~90% EXCEPTIONS <5%

IdentiMatch™ - The World's Only Worklist Automation

1
Step 1

We intake the manual near-match worklist from your current MPI

2
Step 2

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

3
Step 3

Your team can focus on just the exceptions that actually require human review

Learn More in This Short Video

CIO

For CIOs:

Protect data integrity during mergers and EHR migrations

HIM Director

For HIM Directors:

Reduce backlogs without increasing headcount

RCM Director

For RCM Directors:

Ensure clean billing data before it hits the revenue cycle

The numbers behind the backlog

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.

MPI Automation & Benchmarking Report
Download the 2026 MPI Benchmarking Report →

Use Cases for Worklist Automation

Hospital

Hospital & Health System Mergers

Merge populations quickly without sacrificing accuracy

EHR

EHR Migrations & Upgrades

Ensure clean, consistent data before go-live

Quality

Ongoing Data Quality Programs

Keep records clean and compliant over time

Stewardship

HIE and CIE Stewardship

Maintain longitudinal views and avoid false matches

The Proof: Real World Impact

"Almost too good to be true!"

— Boston Medical Center

"They cleared our entire backlog without hiring any additional staff."

— Grand River Health

Cut Manual Data Review by 90% with IdentiMatch™ Worklist Automation

Eliminate the Manual Near-Match Review Bottleneck in your patient data without the overhead.

Graph

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.

Get in Touch

Ready to Eliminate Your Backlog? See how
IdentiMatch™ can cut manual review by up to 90%—
and help you meet your next go-live with confidence.

Get Started