Journal article
Algorithm-Driven Electronic Health Record Notification Enhances the Detection of Turner Syndrome
The Journal of pediatrics, Vol.216, pp.227-231
01/2020
DOI: 10.1016/j.jpeds.2019.09.023
PMCID: PMC7245696
PMID: 31635814
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.
Details
- Title: Subtitle
- Algorithm-Driven Electronic Health Record Notification Enhances the Detection of Turner Syndrome
- Creators
- Eirene Alexandrou - Cincinnati Children's Hospital Medical CenterCatalina Cabrera-Salcedo - University of LouisvilleGuillaume Labilloy - Cincinnati Children's Hospital Medical CenterLeah Tyzinski - Cincinnati Children's Hospital Medical CenterTeresa A Smolarek - Cincinnati Children's Hospital Medical CenterMelissa Andrew - Children's NationalYongbo Huang - Cincinnati Children's Hospital Medical CenterPhilippe Backeljauw - Cincinnati Children's Hospital Medical CenterAndrew Dauber - George Washington University
- Resource Type
- Journal article
- Publication Details
- The Journal of pediatrics, Vol.216, pp.227-231
- DOI
- 10.1016/j.jpeds.2019.09.023
- PMID
- 31635814
- PMCID
- PMC7245696
- NLM abbreviation
- J Pediatr
- ISSN
- 0022-3476
- eISSN
- 1097-6833
- Grant note
- R01 HD093622 / NICHD NIH HHS
- Language
- English
- Date published
- 01/2020
- Academic Unit
- Endocrinology and Diabetes; Stead Family Department of Pediatrics
- Record Identifier
- 9984353948202771
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