提高电子病历种族/族裔数据的准确性/完整性:解决护理差异的必要步骤。

IF 2.3 Q3 CLINICAL NEUROLOGY
Neurology. Clinical practice Pub Date : 2024-06-01 Epub Date: 2024-04-16 DOI:10.1212/CPJ.0000000000200313
Allison L Weathers, Neeta Garg, Karen B Lundgren, Sarah M Benish, Christine B Baca, Richard T Benson
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引用次数: 0

摘要

电子病历中准确完整的种族/民族数据是在地方、地区和国家层面解决神经病学护理中的差异问题的必要步骤。目前电子病历中有关患者种族和民族的数据还不够充分。本文概述了个人医疗机构和电子病历供应商在改进种族和民族记录方面的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved Accuracy/Completeness of EHR Race/Ethnicity Data: A Requisite Step to Address Disparities in Care.

Accurate and complete racial/ethnic data in the electronic health record are a requisite step to addressing disparities in neurologic care, and at local, regional, and national levels. The current data pertaining to the patients' race and ethnicity contained in the electronic health record are inadequate. This article outlines recommendations at the individual practice and electronic health record vendor level to improve documentation of race and ethnicity.

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来源期刊
Neurology. Clinical practice
Neurology. Clinical practice CLINICAL NEUROLOGY-
CiteScore
4.00
自引率
0.00%
发文量
77
期刊介绍: Neurology® Genetics is an online open access journal publishing peer-reviewed reports in the field of neurogenetics. The journal publishes original articles in all areas of neurogenetics including rare and common genetic variations, genotype-phenotype correlations, outlier phenotypes as a result of mutations in known disease genes, and genetic variations with a putative link to diseases. Articles include studies reporting on genetic disease risk, pharmacogenomics, and results of gene-based clinical trials (viral, ASO, etc.). Genetically engineered model systems are not a primary focus of Neurology® Genetics, but studies using model systems for treatment trials, including well-powered studies reporting negative results, are welcome.
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