The design and integration of retinal CAD-SR to diabetes patient ePR system

Huiqun Wu; Yufang Wei; Brent J. Liu; Yujuan Shang; Lili Shi; Kui Jiang; Jiancheng Dong

doi:10.1117/12.2264642

13 March 2017 The design and integration of retinal CAD-SR to diabetes patient ePR system

Huiqun Wu, Yufang Wei, Brent J. Liu, Yujuan Shang, Lili Shi, Kui Jiang, Jiancheng Dong

Author Affiliations +

Proceedings Volume 10138, Medical Imaging 2017: Imaging Informatics for Healthcare, Research, and Applications; 1013819 (2017) https://doi.org/10.1117/12.2264642
Event: SPIE Medical Imaging, 2017, Orlando, Florida, United States

Abstract

Diabetic retinopathy (DR) is one of the serious complications of diabetes that could lead to blindness. Digital fundus camera is often used to detect retinal changes but the diagnosis relies too much on ophthalmologist’s experience. Based on our previously developed algorithms for quantifying retinal vessels and lesions, we developed a computer aided detection-structured report (CAD-SR) template and implemented it into picture archiving and communication system (PACS). Furthermore, we mapped our CAD-SR into HL7 CDA to integrate CAD findings into diabetes patient electronic patient record (ePR) system. Such integration could provide more quantitative features from fundus image into ePR system, which is valuable for further data mining researches.

Citation Download Citation

Huiqun Wu, Yufang Wei, Brent J. Liu, Yujuan Shang, Lili Shi, Kui Jiang, and Jiancheng Dong "The design and integration of retinal CAD-SR to diabetes patient ePR system", Proc. SPIE 10138, Medical Imaging 2017: Imaging Informatics for Healthcare, Research, and Applications, 1013819 (13 March 2017); https://doi.org/10.1117/12.2264642

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