AHIMA16 – Stop Cleaning Your Identity Data! Achieve Interoperability of Patient Information Despite Dirty and Out-of-Date Data

Nick Orser

Nick Orser, Product Marketing Manager

AHIMA16 – Stop Cleaning Your Identity Data! Achieve Interoperability of Patient Information Despite Dirty and Out-of-Date Data

Healthcare organizations face significant challenges in achieving interoperability of patient information across providers, leading to incomplete views of patient’s medical histories and undermining patient safety and satisfaction. Many of these challenges arise from an inability to match patient identities across organizations—meaning it is difficult for two organizations to know whether they are exchanging information about the same person. In fact, CHIME estimates that there is a 50-60% error rate in identifying the same patient across organizations.

Current identity matching technologies like Master Patient Index (MPI) and Master Data Management (MDM) tools struggle with cross-organizational matching because of low quality identity data within patient records: patients’ names and addresses frequently change, birthdates and SSNs are frequently entered incorrectly, and patient data frequently comes with very little identifying information attached to it.

Related Content: Verato AUTO-STEWARD is a quick and easy way to turbocharge the matching capabilities of your existing master patient index (MPI)

This means that the only way to improve matching accuracy—and thus improve interoperability—is for healthcare organizations to perform large data quality exercises and enforce strict data governance standards.

However, an innovative new approach to patient matching enables healthcare organizations to forget about cleaning data, and match patient identities despite low quality identity data. This saves organizations time and money and allows them to develop complete health histories of their patients.

If you’re attending AHIMA16 in Baltimore, come hear Verato Founder and Chief Technology Officer Brent Williams discuss how “referential matching” allows providers to match patient records with 98% accuracy even when they contain identity data that is old, incorrect, erroneous, or incomplete. Click here to learn more about the speaking session.

More information about the speaking session:
Date: Wednesday, October 19, 2016
Time: 11:15 AM – 12:15 PM
Location: Rooms 321-323 of the Baltimore Convention Center

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