As health systems grow, the addition of different data sources can create issues when linking patient records from disparate sources. After multiple physician practice acquisitions, Butler Health System had over one million patient records representing approximately 740,000 unique patients, split across six different EMR source systems. This posed a challenge for automating patient record matching. Learn how Butler Health System partnered with Occam and LexisNexis for help in identifying common patients across the six separate Electronic Medical Records (EMR) systems and to streamline the administrative tasks associated with cleaning up duplicate records.
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