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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Bibliographic Details
Published in:	Journal of the American Medical Informatics Association : JAMIA Vol. 31; no. 11; pp. 2560 - 2570
Main Authors:	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
Language:	English
Published:	England Oxford University Press 01.11.2024
Subjects:	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 Access:	Get full text
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