Algorithm-Driven Electronic Health Record Notification Enhances the Detection of Turner Syndrome

被引：5

作者：

Alexandrou, Eirene ^{[1
]}

Cabrera-Salcedo, Catalina ^{[2
]}

Labilloy, Guillaume ^{[1
]}

Tyzinski, Leah ^{[1
]}

Smolarek, Teresa A. ^{[1
,3
]}

Andrew, Melissa ^{[4
]}

Huang, Yongbo ^{[1
]}

Backeljauw, Philippe ^{[1
]}

Dauber, Andrew ^{[4
,5
]}

机构：

[1] Cincinnati Childrens Hosp Med Ctr, Cincinnati, OH 45229 USA

[2] Univ Louisville, Div Endocrinol, Louisville, KY 40292 USA

[3] Univ Cincinnati, Dept Pediat, Cincinnati, OH USA

[4] Childrens Natl Hlth Syst, Div Endocrinol, Washington, DC 20010 USA

[5] George Washington Sch Med & Hlth Sci, Dept Pediat, Washington, DC USA

来源：

JOURNAL OF PEDIATRICS | 2020年 / 216卷

关键词：

GUIDELINES;

D O I：

10.1016/j.jpeds.2019.09.023

中图分类号：

R72 [儿科学];

学科分类号：

100202 ;

摘要：

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.

引用

页码：227 / 231

页数：5

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