Racial Misclassification of American Indian and Alaska Native People in the Electronic Medical Record: An Unexpected Hurdle in a Retrospective Medical Record Cohort Study.

IF 6 2区医学 Q1 HEALTH CARE SCIENCES & SERVICES

Journal of Medical Internet Research Pub Date : 2025-07-30 DOI:10.2196/73086

Ann Marie Rusk, Alanna M Chamberlain, Jamie Felzer, Yvonne Bui, Christi A Patten, Christopher C Destephano, Matthew A Rank, Roberto P Benzo, Cassie C Kennedy

引用次数: 0

Abstract

Unlabelled: Electronic health record data represent a rich data source; however, data accuracy must be considered prior to reporting health outcomes among American Indian and Alaska Native people. Using a hybrid approach to harmonizing data from multiple sources represents a valid method of assessing data integrity in this population.

查看原文本刊更多论文

美国印第安人和阿拉斯加原住民在电子病历中的种族错误分类：回顾性病历队列研究中的一个意想不到的障碍。

无标签：电子健康记录数据是丰富的数据源；然而，在报告美洲印第安人和阿拉斯加土著人的健康结果之前，必须考虑数据的准确性。使用混合方法来协调来自多个来源的数据是评估该群体数据完整性的有效方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Journal of Medical Internet Research 医学-卫生保健

CiteScore

14.40

自引率

5.40%

发文量

654

审稿时长

1 months

期刊介绍： The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades. As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor. Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.