A Web-based telemedicine system for diabetic retinopathy screening using digital fundus photography.
The purpose was to design and implement a Web-based telemedicine system for diabetic retinopathy screening using digital fundus cameras and to make the software publicly available through Open Source release. The process of retinal imaging and case reviewing was modeled to optimize workflow and implement use of computer system. The Web-based system was built on Java Servlet and Java Server Pages (JSP) technologies. Apache Tomcat was chosen as the JSP engine, while MySQL was used as the main database and Laboratory of Neuro Imaging (LONI) Image Storage Architecture, from the LONI-UCLA, as the platform for image storage. For security, all data transmissions were carried over encrypted Internet connections such as Secure Socket Layer (SSL) and HyperText Transfer Protocol over SSL (HTTPS). User logins were required and access to patient data was logged for auditing. The system was deployed at Hubert H. Humphrey Comprehensive Health Center and Martin Luther King/Drew Medical Center of Los Angeles County Department of Health Services. Within 4 months, 1500 images of more than 650 patients were taken at Humphrey's Eye Clinic and successfully transferred to King/Drew's Department of Ophthalmology. This study demonstrates an effective architecture for remote diabetic retinopathy screening.
Research Center in Minority Institution, Charles R. Drew University of Medicine and Science, Los Angeles, California 90059, USA.
Jack C
JC
Wei
Daniel J
DJ
Valentino
Douglas S
DS
Bell
Richard S
RS
Baker
D003930:Diabetic Retinopathy / Q000175:diagnosis*; D005451:Fluorescein Angiography / Q000295:instrumentation*; D006801:Humans; D020407:Internet; D012985:Software Design; D017216:Telemedicine / Q000295:instrumentation*