Development of electronic health record based algorithms to identify individuals with diabetic retinopathy

Abstract Objectives To develop, validate, and implement algorithms to identify diabetic retinopathy (DR) cases and controls from electronic health care records (EHRs). Materials and Methods We developed and validated electronic health record (EHR)-based algorithms to identify DR cases and individual...

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Veröffentlicht in:	Journal of the American Medical Informatics Association : JAMIA Jg. 31; H. 11; S. 2560 - 2570
Hauptverfasser:	Breeyear, Joseph H, Mitchell, Sabrina L, Nealon, Cari L, Hellwege, Jacklyn N, Charest, Brian, Khakharia, Anjali, Halladay, Christopher W, Yang, Janine, Garriga, Gustavo A, Wilson, Otis D, Basnet, Til B, Hung, Adriana M, Reaven, Peter D, Meigs, James B, Rhee, Mary K, Sun, Yang, Lynch, Mary G, Sobrin, Lucia, Brantley, Milam A, Sun, Yan V, Wilson, Peter W, Iyengar, Sudha K, Peachey, Neal S, Phillips, Lawrence S, Edwards, Todd L, Giri, Ayush
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Oxford University Press 01.11.2024
Schlagworte:	Adult Aged Algorithms Case-Control Studies Diabetes Mellitus, Type 1 - diagnosis Diabetes Mellitus, Type 2 - diagnosis Diabetic Retinopathy - diagnosis Electronic Health Records Female Humans International Classification of Diseases Male Middle Aged algorithm validation algorithm development diabetes complications diabetic retinopathy
ISSN:	1067-5027, 1527-974X, 1527-974X
Online-Zugang:	Volltext
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