Algorithm-Driven Electronic Health Record Notification Enhances the Detection of Turner Syndrome - 13/12/19
Doi : 10.1016/j.jpeds.2019.09.023
Eirene Alexandrou, MD 1, Catalina Cabrera-Salcedo, MD 2, Guillaume Labilloy, ME 1, Leah Tyzinski, BA, CCRP 1, Teresa A. Smolarek, PhD 1, 3, Melissa Andrew, BS 4, Yongbo Huang, MS 1, Philippe Backeljauw, MD 1, Andrew Dauber, MD 4, 5, ⁎ 
1 Cincinnati Children's Hospital Medical Center, Cincinnati, OH
2 Division of Endocrinology, University of Louisville, Louisville, KY
3 Department of Pediatrics, University of Cincinnati, Cincinnati, OH
4 Division of Endocrinology, Children's National Health System, Washington, DC
5 Department of Pediatrics, George Washington School of Medicine and Health Sciences, Washington, DC
∗Reprint requests: Andrew Dauber, MD, Children's National Health System, 111 Michigan Ave, NW, Washington, DC 20010.Children's National Health System111 Michigan Ave, NWWashingtonDC20010
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.
Le texte complet de cet article est disponible en PDF.Abbreviations : BMI, EHR, HSDS, IGF, ISS, MPH
Plan
| Supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD093622 [to A.D.]). P.B. has received research support from Novo Nordisk, Ipsen, Opko, and Sandoz, and consulting fees from Novo Nordisk and Sandoz. A.D. has received consulting fees from Novo Nordisk, Sandoz, Pfizer, Ipsen, Ascendis, and OPKO Biologics. The other authors declare no conflicts of interest. have nothing to disclose. |
© 2019
Elsevier Inc. Tous droits réservés.
Vol 216
P. 227-231 - janvier 2020 Retour au numéro
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