电子健康记录青霉素过敏脱标流行率测量的推导和验证

IF 8.2 1区医学 Q1 IMMUNOLOGY Clinical Infectious Diseases Pub Date : 2024-12-20 DOI:10.1093/cid/ciae641

Kimberly G Blumenthal, Bohang Jiang, Andrew J King, Jushin T Mann, Yuqing Zhang, Alysse G Wurcel

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引用次数: 0

摘要

由于没有标准的方法来捕获人群中青霉素过敏去标签率，我们开发并验证了一种简单的青霉素过敏去标签率测量方法，该方法从电子健康记录中获得了完美的灵敏度（100.0%），高特异性（99.4%），并且与包括自由文本手动审查的综合算法高度一致（Kappa=0.997）。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Derivation and Validation of an Electronic Health Record Penicillin Allergy De-Labeling Prevalence Measure

With no standard method to capture penicillin allergy de-labeling prevalence across populations, we developed and validated a simple penicillin allergy de-labeling prevalence measure from electronic health records that achieved perfect sensitivity (100.0%), high specificity (99.4%), and strong agreement with a comprehensive algorithm that included free-text manual review (Kappa=0.997).

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来源期刊

Clinical Infectious Diseases 医学-传染病学

CiteScore

25.00

自引率

2.50%

发文量

900

审稿时长

3 months

期刊介绍： Clinical Infectious Diseases (CID) is dedicated to publishing original research, reviews, guidelines, and perspectives with the potential to reshape clinical practice, providing clinicians with valuable insights for patient care. CID comprehensively addresses the clinical presentation, diagnosis, treatment, and prevention of a wide spectrum of infectious diseases. The journal places a high priority on the assessment of current and innovative treatments, microbiology, immunology, and policies, ensuring relevance to patient care in its commitment to advancing the field of infectious diseases.