Blues patient-matching project hits 99.5% accuracy

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The Sequoia Project, a healthcare interoperability not-for-profit, on Thursday released a supplement to a patient-matching framework it released in 2018, this time focusing on matching people between payers.The supplement, a case study with the Blue Cross and Blue Shield Association, reports reaching a 99.5% accuracy rate when matching members to their records by creating a new member-matching algorithm, applying principles from the Sequoia Project’s 2018 framework for cross-organizational patient identity management.Accurately matching people across care settings, payers and health information networks is foundational for achieving interoperability in healthcare, a core focus of the industry and federal government in recent years. HHS’ Office of the National Coordinator for Health Information Technology and CMS in March released companion rules on interoperability, enforcement of which has been delayed amid COVID-19.Patient matching is “necessary in order to have interoperable health information exchange,” said Mariann Yeager, the Sequoia Project’s CEO. “You have to know that you’re talking about the same individual.”While the Sequoia Project’s 2018 framework built upon a case study on matching patient records between healthcare providers that it completed with Intermountain Healthcare in 2016, the case study released Thursday with BCBSA adapts that framework to try to outline strategies for payers.”BCBSA’s work around …

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