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      Teleophthalmology: improving patient outcomes?

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          Abstract

          Teleophthalmology is gaining importance as an effective eye care delivery modality worldwide. In many developing countries, teleophthalmology is being utilized to provide quality eye care to the underserved urban population and the unserved remote rural population. Over the years, technological innovations have led to improvement in evidence and teleophthalmology has evolved from a research tool to a clinical tool. The majority of the current teleophthalmology services concentrate on patient screening and appropriate referral to experts. Specialty care using teleophthalmology services for the pediatric group includes screening as well as providing timely care for retinopathy of prematurity (ROP). Among geriatric eye diseases, specialty teleophthalmology care is focused toward screening and referral for diabetic retinopathy (DR), glaucoma, age-related macular degeneration (ARMD), and other sight-threatening conditions. Comprehensive vision screening and refractive error services are generally covered as part of most of the teleophthalmology methods. Over the past decades, outcome assessment of health care system includes patients’ assessments on their health, care, and services they receive. Outcomes, by and large, remain the ultimate validators of the effectiveness and quality of medical care. Teleophthalmology produces the same desired clinical outcome as the traditional system. Remote portals allow specialists to provide care over a larger region, thereby improving health outcomes and increasing accessibility of specialty care to a larger population. A high satisfaction level and acceptance is reported in the majority of the studies because of increased accessibility and reduced traveling cost and time. Considering the improved quality of patient care and patient satisfaction reported for these telemedicine services, this review explores how teleophthalmology helps to improve patient outcomes.

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          Most cited references62

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          What is telemedicine? A collection of 104 peer-reviewed perspectives and theoretical underpinnings.

          Nearly half a century ago, telemedicine was disregarded for being an unwieldy, unreliable, and unaffordable technology. Rapidly evolving telecommunications and information technologies have provided a solid foundation for telemedicine as a feasible, dependable, and useful technology. Practitioners from a variety of medical specialties have claimed success in their telemedicine pursuits. Gradually, this new modality of healthcare delivery is finding its way into the mainstream medicine. As a multidisciplinary, dynamic, and continually evolving tool in medicine, researchers and users have developed various definitions for telemedicine. The meaning of telemedicine encapsulated in these definitions varies with the context in which the term was applied. An analysis of these definitions can play an important role in improving understanding about telemedicine. In this paper we present an extensive literature review that produced 104 peer-reviewed definitions of telemedicine. These definitions have been analyzed to highlight the context in which the term has been defined. The paper also suggests a definition of modern telemedicine. The authors suggest that telemedicine is a branch of e-health that uses communications networks for delivery of healthcare services and medical education from one geographical location to another. It is deployed to overcome issues like uneven distribution and shortage of infrastructural and human resources. We expect that this study will enhance the level of understanding and meaning of telemedicine among stakeholders, new entrants, and researchers, eventually enabling a better quality of life.
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            EyePACS: an adaptable telemedicine system for diabetic retinopathy screening.

            Annual retinal screening of patients with diabetes is the standard clinical practice to prevent visual impairment and blindness from diabetic retinopathy. Telemedicine-based diabetic retinopathy screening (DRS) in primary care settings can effectively detect sight-threatening retinopathy and significantly increase compliance with annual retinal exams. EyePACS is a license-free Web-based DRS system designed to simplify the process of image capture, transmission, and review. The system provides a flexible platform for collaboration among clinicians about diabetic retinopathy. Primary clinic personnel (i.e., nursing, technical, or administrative staff) are trained and certified by the EyePACS program to acquire retinal images from standard digital retinal cameras. Relevant clinical data and eight high-resolution images per patient (two external and six retinal images) are encrypted and transmitted to a secure Internet server, using a standard computer and Web browser. Images are then interpreted by certified EyePACS reviewers or local eye care providers who are certified through the EyePACS Retinopathy Grading System. Reports indicating retinopathy level and referral recommendations are transmitted back to primary care providers through the EyePACS Web site or through interfaces between EyePACS and Health Level 7-compliant electronic medical records or chronic disease registries. The pilot phase of the EyePACS DRS program in California (2005-2006) recorded 3562 encounters. Since 2006, EyePACS has been expanded to over 120 primary care sites throughout California and elsewhere recording over 34,000 DRSs. The overall rate of referral is 8.21% for sight-threatening retinopathy and 7.83% for other conditions (e.g., cataract and glaucoma). The use of license-free Web-based software, standard interfaces, and flexible protocols has allowed primary care providers to adopt retinopathy screening with minimal effort and resources. 2009 Diabetes Technology Society.
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              Progress on retinal image analysis for age related macular degeneration.

              Age-related macular degeneration (AMD) is the leading cause of vision loss in those over the age of 50 years in the developed countries. The number is expected to increase by ∼1.5 fold over the next ten years due to an increase in aging population. One of the main measures of AMD severity is the analysis of drusen, pigmentary abnormalities, geographic atrophy (GA) and choroidal neovascularization (CNV) from imaging based on color fundus photograph, optical coherence tomography (OCT) and other imaging modalities. Each of these imaging modalities has strengths and weaknesses for extracting individual AMD pathology and different imaging techniques are used in combination for capturing and/or quantification of different pathologies. Current dry AMD treatments cannot cure or reverse vision loss. However, the Age-Related Eye Disease Study (AREDS) showed that specific anti-oxidant vitamin supplementation reduces the risk of progression from intermediate stages (defined as the presence of either many medium-sized drusen or one or more large drusen) to late AMD which allows for preventative strategies in properly identified patients. Thus identification of people with early stage AMD is important to design and implement preventative strategies for late AMD, and determine their cost-effectiveness. A mass screening facility with teleophthalmology or telemedicine in combination with computer-aided analysis for large rural-based communities may identify more individuals suitable for early stage AMD prevention. In this review, we discuss different imaging modalities that are currently being considered or used for screening AMD. In addition, we look into various automated and semi-automated computer-aided grading systems and related retinal image analysis techniques for drusen, geographic atrophy and choroidal neovascularization detection and/or quantification for measurement of AMD severity using these imaging modalities. We also review the existing telemedicine studies which include diagnosis and management of AMD, and how automated disease grading could benefit telemedicine. As there is no treatment for dry AMD and only early intervention can prevent the late AMD, we emphasize mass screening through a telemedicine platform to enable early detection of AMD. We also provide a comparative study between the imaging modalities and identify potential study areas for further improvement and future research direction in automated AMD grading and screening. Copyright © 2013 The Authors. Published by Elsevier Ltd.. All rights reserved.
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                Author and article information

                Journal
                Clin Ophthalmol
                Clin Ophthalmol
                Clinical Ophthalmology
                Clinical Ophthalmology (Auckland, N.Z.)
                Dove Medical Press
                1177-5467
                1177-5483
                2016
                10 February 2016
                : 10
                : 285-295
                Affiliations
                [1 ]Ophthalmology Department, Sultan Qaboos University Hospital, Muscat, Oman, India
                [2 ]Department of Optometry, School of Allied Health Sciences, Manipal University, Manipal, India
                Author notes
                Correspondence: Sathyamangalam VenkataSubbu Ramesh, Department of Optometry, School of Allied Health Sciences, Manipal University, Manipal 576104, India, Tel +91 886 133 0950, Email ramesh.sve@ 123456manipal.edu
                Article
                opth-10-285
                10.2147/OPTH.S80487
                4755429
                26929592
                e8ad7c2f-e4e7-4ed2-b834-1d202764678d
                © 2016 Sreelatha and Ramesh. This work is published and licensed by Dove Medical Press Limited

                The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.

                History
                Categories
                Review

                Ophthalmology & Optometry
                teleophthalmology,patient satisfaction,patient outcomes,tele-rop,tele-diabetic retinopathy,teleglaucoma

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