Assessing the accuracy of electronic health record gender identity and REaL data at an academic medical center
Abstract Background Collection of accurate patient race, ethnicity, preferred language (REaL) and gender identity in the electronic health record (EHR) is essential for equitable and inclusive care. Misidentification of these factors limits quality measurement of health outcomes in at-risk populatio...
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| Main Authors: | , , , |
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| Format: | Book |
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BMC,
2023-08-01T00:00:00Z.
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A1234.567 |
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