Sahin Onur, Zhao Audrey, Applegate Reuben Joseph, Johnson Todd R, Bernstam Elmer V
Department of Clinical and Health Informatics, D. Bradley McWilliams School of Biomedical Informatics, The University of Texas Health Science Center (UTHealth), Houston, Texas, United States.
The University of Texas Health Science Center at Houston (UTHealth) John P. and Kathrine G. McGovern Medical School, Houston, Texas, United States.
Appl Clin Inform. 2025 Jan;16(1):24-30. doi: 10.1055/a-2423-8499. Epub 2024 Sep 27.
Duplicate patient records can increase costs and medical errors. We assessed the association between demographic factors, comorbidities, health care usage, and duplicate electronic health records.
We analyzed the association between duplicate patient records and multiple demographic variables (race, Hispanic ethnicity, sex, and age) as well as the Charlson Comorbidity Index (CCI), number of diagnoses, and number of health care encounters. The study population included 3,018,413 patients seen at a large urban academic medical center with at least one recorded diagnosis. Duplication of patient medical records was determined by using a previously validated enterprise Master Person Index.
Unknown or missing demographic data, Black race when compared with White race (odds ratio [OR]: 1.35, < 0.001), Hispanic compared with non-Hispanic ethnicity (OR: 1.48, < 0.001), older age (OR: 1.01, < 0.001), and "Other" sex compared with female sex (OR: 4.71, < 0.001) were associated with higher odds of having a duplicate record. Comorbidities (CCI, OR: 1.10, < 0.001) and more encounters with the health care system (OR: 1.01, < 0.001) were also associated with higher odds of having a duplicate record. In contrast, male sex compared with female sex was associated with lower odds of having a duplicate record (OR: 0.88, < 0.001).
The odds of duplications in medical records were higher in Black, Hispanic, older, nonmale patients with more health care encounters, more comorbidities, and unknown demographic data. Understanding the epidemiology of duplicate records can help guide prevention and mitigation efforts for high-risk populations. Duplicate records can contribute to disparities in health care outcomes for minority populations.
重复的患者记录会增加成本并导致医疗差错。我们评估了人口统计学因素、合并症、医疗保健使用情况与重复电子健康记录之间的关联。
我们分析了重复患者记录与多种人口统计学变量(种族、西班牙裔、性别和年龄)以及查尔森合并症指数(CCI)、诊断数量和医疗保健就诊次数之间的关联。研究人群包括在一家大型城市学术医疗中心就诊且至少有一项记录诊断的3,018,413名患者。使用先前验证过的企业主索引来确定患者病历的重复情况。
未知或缺失的人口统计学数据、与白人相比的黑人种族(优势比[OR]:1.35,<0.001)、与非西班牙裔相比的西班牙裔(OR:1.48,<0.001)、年龄较大(OR:1.01,<0.001)以及与女性相比的“其他”性别(OR:4.71,<0.001)与有重复记录更高的几率相关。合并症(CCI,OR:1.10,<0.001)以及与医疗保健系统更多的就诊次数(OR:1.01,<0.001)也与有重复记录更高的几率相关。相比之下,与女性相比男性有重复记录的几率较低(OR:0.88,<0.001)。
在有更多医疗保健就诊次数、更多合并症且人口统计学数据未知的黑人、西班牙裔、老年、非男性患者中,病历重复的几率更高。了解重复记录的流行病学有助于指导针对高危人群的预防和缓解措施。重复记录可能导致少数族裔人群医疗保健结果的差异。