fragmented shared patient records

Black Book™ surveyed 1,392 health technology managers to help stakeholders identify gaps, challenges and successes in patient identification processes from Q3 2017 to Q1 2018. As healthcare data creation has fast-tracked to an absolute landslide bringing with it many challenges in the identification and reconciliation of patient records because of the ways disparate systems classify, store, protect and share information. The crowdsourced poll of enterprise master patient index users revealed that prior to administering an EMPI tool, an average 18% of an organization’s patient records are found to be duplicates.

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