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Strategies for Addressing the Data Quality Component of Your EHR Migration

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Ensuring Data Quality in EHR Migrations

This chapter examines the critical aspects of data quality during the migration to electronic health records (EHR). It highlights four key principles—accuracy, completeness, consistency, and relevance—while discussing the importance of governance and collaboration among stakeholders. The chapter also addresses challenges such as data fragmentation and manual entry errors, advocating for a cultural transformation to embed data integrity within healthcare organizations.

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