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LexisNexis Partners with QuadraMed to Prevent Duplicate Patient Records

by Jasmine Pennic 01/31/2019 Leave a Comment

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LexisNexis Partners with QuadraMed to Prevent Duplicate Patient Records

LexisNexis and QuadraMed, a division of Harris Healthcare, today announced they have partnered to improve patient matching for QuadraMed’s Enterprise Master Patient Index (EMPI) software and clean-up customers at over 1,200 healthcare facilities.

QuadraMed diagnoses, treats, cures and prevents patient identity issues through a comprehensive set of software and services, including duplicate and overlap reconciliation, but its ability to confirm that two records represent the same person is dependent on the quality of patient data provided by healthcare systems.

Specifically, LexisNexis will augment QuadraMed’s EMPI data cleansing services by resolving unmatched patient identity or duplicate records to unique identities, thanks to LexisNexis’s vast referential repository of data sources, in addition to information that QuadraMed derives from healthcare organizations. 

Importance of Clean Patient Data for Healthcare Organizations

The average hospital has a duplicate rate of 8-12%. M&A activity is contributing to the already mismatched and duplicate patient records, presenting challenges, such as patient safety in the case of medical errors and extra costs for manual data verification. Clean patient data is vital for any successful healthcare IT integration, electronic health record conversion, interoperability initiative, or electronic information exchange.

 

“Our alliance with QuadraMed is a great example of industry experts combining different capabilities to tackle data fragmentation and help healthcare facilities offer safer and more efficient care,” said Josh Schoeller, senior vice president and General Manager of LexisNexis Risk Solutions, Health Care. “Correct, complete records are fundamental for proper patient diagnosis and treatment as well as hospital reimbursement, as inaccurate patient identification can result in denied claims.”

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Tagged With: master patient index, Patient Misidentification

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