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Implementing Advanced And Sophisticated Matching Algorithm Software

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Healthcare organizations have traditionally attempted overcome interoperability barriers by using interfaces and health information exchanges (HIE). Unfortunately, according to Green (2015, para. 3), the use of interfaces and HIE will never enable true interoperability. Nevertheless, when using interfaces and HIE it will be necessary to use international HMIS standards. HMIS standards facilitates wide-spread compatibility, which is currently the best alternative for interoperability. Initiative 5: Decrease EMR Duplication Rates Duplicate EMRs can lead to financial losses, reductions in medical data integrity, administrative inefficiencies, and liability concerns (Right Patient, 2012, para. 1). Most importantly, duplicate EMRs jeopardize patient safety and compromise care delivery (Banton & Filer, 2014, p. 9). Unfortunately, current algorithm based software to detect duplicates is surprisingly ineffective. In fact, the average hospital has approximately 800,000 duplicate EMR records (Gregg, 2013, para. 1). Implementing advanced and sophisticated matching algorithm software would help decrease duplication rates. In addition, all but 8% of duplicate EMRs are created during registration (Right Patient, 2012, para. 9). As a result, creating additional safeguards during the registration processes might be the most effective way to prevent EMR duplications. Lastly, implementing biometric technologies such as iris scanning and fingerprinting would also be helpful with

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