提高EHR种族/种族数据的准确性/完整性:解决护理差异的必要步骤
Allison L Weathers1, Neeta Garg1, Karen B Lundgren1
1Information Technology Division (ALW), Cleveland Clinic, Cleveland, OH; Department of Neurology (NG), University of California, Los Angeles; American Academy of Neurology (KBL); Department of Neurology (SMB), University of Minnesota, Minneapolis; Department of Neurology (CBB), Virginia Commonwealth University, Richmond, VA; and National Institute of Neurological Disorders and Stroke (RTB), NIH, Bethesda, MD.
电子健康记录中准确的患者种族和种族数据对于解决神经病理护理差异至关重要. 本研究提出了在实践和供应商层面更好地收集数据的改进方案.
科学领域:
- 医疗信息学 医疗信息学
- 神经学 神经学
- 健康 公平 卫生 公平
背景情况:
- 神经学护理方面的差异仍然存在,这凸显了对准确患者人口统计数据的需求.
- 目前的电子健康记录 (EHR) 系统拥有不充分的种族和民族数据.
- 解决健康不平等问题需要准确和完整的患者信息.
研究的目的:
- 强调需要在EHR中提供准确的种族和民族数据.
- 发现当前关于种族和种族的电子健康记录数据收集的缺陷.
- 提出可行的建议,以加强人口统计数据的文档.
主要方法:
- 审查当前在EHR收集种族和种族数据的实践.
- 分析现有数据的质量和完整性.
- 为个人实践和EHR供应商制定建议.
主要成果:
- 目前在EHR中的种族和民族数据不足以解决护理差异.
- 在护理点 (个人实践) 和系统层面 (EHR供应商) 都需要改进.
结论:
- 在EHR中加强患者种族和种族的记录对于公平的神经病理护理至关重要.
- 医疗保健提供者和EHR供应商之间的协作努力是必要的,以提高数据准确性.
- 完整的人口统计数据是识别和减轻健康差异的基本要素.
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