Digital retinal imaging with remote image interpretation (teleretinal imaging) is an emerging healthcare technology for screening patients for diabetic retinopathy (DR). The Veterans Health Administration (VHA) convened an expert panel in 2001 to determine and resolve the requisite clinical, quality and training, information technology, and healthcare infrastructure issues associated with deploying a teleretinal imaging system. The panel formulated consensus recommendations based on available literature and identified areas of uncertainty that merited further clarification or research. Subsequent VHA experience with teleretinal imaging and accumulated scientific evidence support nationwide regionalized deployment of teleretinal imaging to screen for DR. The goal is to screen approximately 75,000 patients in the first year of the program, which commenced in 2006. This program will increase patients' access to screening for DR, provide outcomes data, and offer a unique platform for systematically evaluating the role of this technology in the care of diabetic eye disease and routine eye-care practice.
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http://dx.doi.org/10.1682/jrrd.2005.08.0146 | DOI Listing |
Clin Ophthalmol
December 2024
Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
Objective: To report the results and feasibility of a pilot expansion of the Toronto Tele-Retinal Screening Program in an elderly long-term care home.
Methods: Long term care patients with Type II diabetes mellitus (DM) were screened between April 1, 2022, and July 1, 2022. Demographic and health data were collected through surveys.
Int Ophthalmol Clin
January 2025
Department of Ophthalmology, Cullen Eye Institute, Baylor College of Medicine, Houston, TX.
Aim: Determine the follow-up rate for patients referred following an abnormal teleretinal imaging (TRI) screening and examine patient characteristics predictive of follow-up nonadherence.
Materials And Methods: A cross-sectional study of patients screened between August 2014 and July 2016 in the Harris Health System (HHS) in Houston, TX. All diabetic patients referred for in-person examination, who had data for all study variables, and who did not have established ophthalmic care in the HHS within the previous 2 years were included.
Purpose: To develop and test a deep learning (DL) algorithm for detecting referable glaucoma in the Los Angeles County (LAC) Department of Health Services (DHS) teleretinal screening program.
Methods: Fundus photographs and patient-level labels of referable glaucoma (defined as cup-to-disc ratio [CDR] ≥ 0.6) provided by 21 trained optometrist graders were obtained from the LAC DHS teleretinal screening program.
World J Diabetes
August 2024
Department of Ophthalmology, Tufts University School of Medicine, Boston, MA 02111, United States.
The utilization of non-mydriatic fundus photography-assisted telemedicine to screen patients with diabetes mellitus for diabetic retinopathy provides an accurate, efficient, and cost-effective method to improve early detection of disease. It has also been shown to correlate with increased participation of patients in other aspects of diabetes care. In particular, patients who undergo teleretinal imaging are more likely to meet Comprehensive Diabetes Care Healthcare Effectiveness Data and Information Set metrics, which are linked to preservation of quality-adjusted life years and additional downstream healthcare savings.
View Article and Find Full Text PDFCureus
July 2024
Primary Care, University of California San Francisco Health Systems, San Francisco, USA.
Background This study aimed to investigate the rationale, barriers, and facilitators of teleretinal camera implementation in primary care and endocrinology clinics for diabetic retinopathy (DR) screening across University of California (UC) health systems utilizing the Exploration, Preparation, Implementation, and Sustainment (EPIS) framework. Methodology Institutional representatives from UC Los Angeles, San Diego, San Francisco, and Davis participated in a series of focus group meetings to elicit implementation facilitators and barriers for teleophthalmology programs within their campuses. Site representatives also completed a survey regarding their program's performance over the calendar year 2022 in the following areas: DR screening camera sites, payment sources and coding, screening workflows including clinical, information technology (IT), reading, results, pathologic findings, and follow-up, including patient outreach for abnormal results.
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