Maintaining patient data integrity is more complicated than ever; cybersecurity threats loom, patients are taking more ownership of their care (self-registration, for example) and health system merger activity is on the rise. It can make the quest for the ever-elusive 1% maximum duplicate rate seem, at times, unattainable. But a secure, accurate, and duplicate-free MPI/EMPI can be achieved. It just requires a multi-pronged approach to protect data throughout its journey into a health system
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Referential Matching—What It Is and Why It Matters for Providers
Clean patient data is the critical first step for any successful health IT integration, EHR conversion, interoperability initiative or electronic information exchange. According to a recent Pew Charitable Trusts report, most hospital executives and administrators believe the accuracy of patient matching when information is exchanged between organizations with different EHR systems is subpar.
Further, as health systems continue to consolidate and add more data to their networks, the importance of
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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
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Patient Misidentification: The Case Against The National Patient Identifier
The healthcare IT industry is at a crossroads.On the one hand, there have been tremendous advancements made in health technology over the past decade: wide adoption of electronic health records, telehealth, remote monitoring tools, and the broadening effort to enable secure health data exchange. On the other hand, many problems lurk, including one with nationwide, massive implications: patient matching.As patient data skyrocket and the need for data sharing increases, matching patient records
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