Tag: Data Quality

Don’t reinvent the wheel: Why your developers are wasting their time building master patient index technology for your health tech platform.

by Rachel Blum, Director of Business Development

You’re a healthcare technology startup building the next-generation platform in care management, revenue cycle automation, electronic health records, population health, natural language processing. Don’t waste your developers’ time by having them build your master patient index patient matching technology.

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Healthcare CFOs, want to save $500,000?

by Jason Bihun, VP of Sales

The complex nature and navigation of clinical details, billing information, and ultimately insurance data requires herculean efforts on behalf of hospital administrators.

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What is “Referential Matching?” A Primer.

by Nick Orser, Senior Manager, Product Marketing

Read this blog post to learn what patient matching is and why it is important, as well as what Referential Matching technology is and how it can help solve our nation’s interoperability challenges.

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IBM Initiate Struggles to Make Matches

If You Use IBM Initiate, You Need to Read This

by Nick Orser, Senior Manager, Product Marketing

IBM Initiate is a state-of-the-art master patient index (MPI) solution with best-of-breed patient matching capabilities. But it requires thousands or millions of potential matches to be manually reviewed. Learn how you can automatically match those potential matches, saving the time and effort of manual review.

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MPI cleanups are a thing of the past

MPI Cleanups Are a Thing of the Past

by Nick Orser, Senior Manager, Product Marketing

It’s time for organizations to stop performing MPI cleanups. Verato offers a Referential Matching plug-in that works continuously to find and remediate duplicates an EHR or EMPI has missed, and that prevents duplicates from being created in the first place.

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The Age of Data Governance for Patient Matching is Over

by Nick Orser, Senior Manager, Product Marketing

A recent study published in the AHIMA journal “Perspectives in Health Information Management” analyzed what data errors cause duplicate patient records. But duplicates can be found and prevented without the need for data governance.

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How to Achieve Accurate Identity Matching without the Sweat Equity

by Jon Case, Senior Solutions Architect

If you’ve ever renovated a house or bought a “fixer-upper,” you know all about sweat equity—it’s the painstaking investment of time and labor that goes into the project. What you might not know is when you buy a modern identity matching solution—whether a Master Data Management (MDM) or Master Patient Index (MPI) tool—you are signing up for more sweat equity than you realize.

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