Priyanka Kammari1, Mahesh Chandra Ambadker2, Abhinav Loomba3, Navya Deepthi4, Shravani M5, Ranganath Vadapalli6, Sapthagiri Maduri7, Shyam Sunder Reddy Bhaskey8, Mukesh Taneja9, Anthony Vipin Das10. 1. Department of eyeSmart EMR & AEye, L V Prasad Eye Institute, India priyanka@lvpei.org. 2. Department of eyeSmart EMR & AEye, L V Prasad Eye Institute, India mcambadker98@gmail.com. 3. Department of Tele-Ophthalmology, L V Prasad Eye Institute, India drabhinavloomba@gmail.com. 4. Department of Tele-Ophthalmology, L V Prasad Eye Institute, India navyadeepthi29@gmail.com. 5. Department of Tele-Ophthalmology, L V Prasad Eye Institute, India mshravani@lvpei.org. 6. Department of eyeSmart EMR & AEye, L V Prasad Eye Institute, India ranganath@lvpei.org. 7. Department of eyeSmart EMR & AEye, L V Prasad Eye Institute, India sapthagirimaduri@gmail.com. 8. Department of eyeSmart EMR & AEye, L V Prasad Eye Institute, India shyam.b@techsophy.com. 9. Department of Tele-Ophthalmology, L V Prasad Eye Institute, India taneja@lvpei.org. 10. Department of eyeSmart EMR & AEye and Department of Tele-Ophthalmology, L V Prasad Eye Institute, India vipin@lvpei.org.
Abstract
INTRODUCTION: 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. METHODS: 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. RESULTS: 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%). CONCLUSIONS: 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.
INTRODUCTION: 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. METHODS: 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. RESULTS: 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%). CONCLUSIONS: 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.
Entities:
Keywords:
India; big data; electronic medical records; population health; rural eye care; analytics
Authors: Varsha M Rathi; Praveen Thokala; Sheila MacNeil; Rohit C Khanna; Peter N Monk; Prashant Garg Journal: Lancet Reg Health Southeast Asia Date: 2022-09