Kammari Priyanka, Ambadker Mahesh Chandra, Loomba Abhinav, Deepthi Navya, M Shravani, Vadapalli Ranganath, Maduri Sapthagiri, Bhaskey Shyam Sunder Reddy, Taneja Mukesh, Das Anthony Vipin
Department of eyeSmart EMR & AEye, L V Prasad Eye Institute, India
Department of Tele-Ophthalmology, L V Prasad Eye Institute, India
Rural Remote Health. 2019 Sep;19(3):5255. doi: 10.22605/RRH5255. Epub 2019 Sep 2.
This article describes the implementation of a novel technology tool to capture demographic distribution and clinical presentation of patients in rural vision centers using the eyeSmart electronic medical record (EMR) app in a three-tier eyecare network in India.
A two-year retrospective review of all patients who presented to the rural vision centers of LV Prasad Eye Institute (LVPEI) eyecare network was performed from September 2016 to August 2018 using an in-house developed eyeSmart EMR app.
A total of 501 771 patients were captured on the eyeSmart EMR app across the LVPEI network. The ratio of males (n=273 985, 54.60%) and females (n=227 786, 45.40%) presenting to the rural vision centers was 1.2:1. The most prevalent ocular disorder was refractive errors (n=273 720, 44.32%).
This study details the demographic distribution and prevalence of ocular disorders in a large cohort of Indian patients and demonstrates the potential for real-time analytics through the use of EMR systems. This provides rigorous evidence for the community and eyecare providers that the use of a web application/tablet app (eyeSmart) aids in providing better eyecare services in rural areas. It helps in creating government policies and improves the treatment strategies for various preventable ocular disorders in India.
本文描述了一种新技术工具的实施情况,该工具利用眼智能电子病历(EMR)应用程序,在印度一个三层眼保健网络中的农村视力中心捕获患者的人口统计学分布和临床表现。
2016年9月至2018年8月,使用内部开发的眼智能EMR应用程序,对所有前往LV普拉萨德眼科研究所(LVPEI)眼保健网络农村视力中心就诊的患者进行了为期两年的回顾性研究。
LVPEI网络中的眼智能EMR应用程序共记录了501771名患者。前往农村视力中心就诊的男性患者(n = 273985,54.60%)与女性患者(n = 227786,45.40%)的比例为1.2:1。最常见的眼部疾病是屈光不正(n = 273720,44.32%)。
本研究详细介绍了一大群印度患者的人口统计学分布和眼部疾病患病率,并展示了通过使用EMR系统进行实时分析的潜力。这为社区和眼保健提供者提供了有力证据,即使用网络应用程序/平板电脑应用程序(眼智能)有助于在农村地区提供更好的眼保健服务。它有助于制定政府政策,并改善印度各种可预防眼部疾病的治疗策略。