A digital online platform for education and certification of diabetic retinopathy health care professionals in the Region of Southern Denmark

Purpose The incidence of diabetes continues to increase across the world. As the number of patients rises, so does the need for educated health care professionals. Diabetic retinopathy (DR) remains one of the primary complications in diabetes, and screening has proved to be a cost‐effective measure...

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Bibliographic Details
Published in:Acta ophthalmologica (Oxford, England) England), 2022-08, Vol.100 (5), p.589-595
Main Authors: Andersen, Jakob Kristian Holm, Hubel, Martin Slusarczyk, Savarimuthu, Thiusius Rajeeth, Rasmussen, Malin Lundberg, Sørensen, Simon Lyck Bjært, Grauslund, Jakob
Format: Article
Language:English
Subjects:
artificial intelligence
certification
Diabetes
Diabetes mellitus
Diabetic retinopathy
Health care
online education
Retinopathy
screening
Training
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Summary:Purpose The incidence of diabetes continues to increase across the world. As the number of patients rises, so does the need for educated health care professionals. Diabetic retinopathy (DR) remains one of the primary complications in diabetes, and screening has proved to be a cost‐effective measure to avoid DR‐related blindness. Denmark has an established screening programme, but no formal training of the people responsible for analysing retinal images. Methods We here present an online learning platform that offers a diabetic eye screening course for health care professionals undertaking screening responsibility in the Region of Southern Denmark. The course is divided into lectures, each focussed on identifying different levels of DR or detecting related lesions. The course is free to use on‐demand, contains instructional videos, interactive tests and exercises, and it is concluded with a certification test. The tools on the platform can in addition be used to generate data for research purposes, such as comparing users or experts in detection of lesions or annotating data for the development of machine learning models. Results More than 150 participants have so far completed the course, and the platform is being adopted for education in other regions of Denmark.
ISSN:1755-375X
1755-3768
DOI:10.1111/aos.15123