Use of administrative and electronic health record data for development of automated algorithms for childhood diabetes case ascertainment and type classification: the SEARCH for Diabetes in Youth Study

Background The performance of automated algorithms for childhood diabetes case ascertainment and type classification may differ by demographic characteristics. Objective This study evaluated the potential of administrative and electronic health record (EHR) data from a large academic care delivery s...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Pediatric diabetes Jg. 15; H. 8; S. 573 - 584
Hauptverfasser:	Zhong, Victor W., Pfaff, Emily R., Beavers, Daniel P., Thomas, Joan, Jaacks, Lindsay M., Bowlby, Deborah A., Carey, Timothy S., Lawrence, Jean M., Dabelea, Dana, Hamman, Richard F., Pihoker, Catherine, Saydah, Sharon H., Mayer-Davis, Elizabeth J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Former Munksgaard John Wiley & Sons A/S 01.12.2014
Schlagworte:	administrative data Adolescent Adult Algorithms case ascertainment Child Child, Preschool childhood diabetes Diabetes Mellitus, Type 1 - classification Diabetes Mellitus, Type 1 - diagnosis Diabetes Mellitus, Type 1 - epidemiology Diabetes Mellitus, Type 2 - classification Diabetes Mellitus, Type 2 - diagnosis Diabetes Mellitus, Type 2 - epidemiology electronic health record Electronic Health Records - standards Female Humans Infant Infant, Newborn Male Mass Screening - methods type classification Young Adult childhood diabetes type classification administrative data case ascertainment electronic health record
ISSN:	1399-543X, 1399-5448, 1399-5448
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!