算法驱动的电子健康记录通知增强了特纳综合征的检测。
Algorithm-Driven Electronic Health Record Notification Enhances the Detection of Turner Syndrome.
机构信息
Cincinnati Children's Hospital Medical Center, Cincinnati, OH.
Division of Endocrinology, University of Louisville, Louisville, KY.
出版信息
J Pediatr. 2020 Jan;216:227-231. doi: 10.1016/j.jpeds.2019.09.023. Epub 2019 Oct 18.
Abstract
Early diagnosis of Turner syndrome enhances care, but in routine practice, even within larger referral centers, diagnosis is delayed. Our study examines the utility of an electronic health record algorithm in identifying patients at high risk for Turner syndrome. Six percent of those identified had missed diagnoses of Turner syndrome.
摘要
特纳综合征的早期诊断可提高治疗效果，但在常规实践中，即使在较大的转诊中心，诊断也会延迟。我们的研究旨在探讨电子病历算法在识别特纳综合征高危患者中的应用价值。经算法识别出的患者中有 6%存在特纳综合征漏诊。
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