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Ophthalmology Commons

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Full-Text Articles in Ophthalmology

Application Of Big-Data For Epidemiological Studies Of Refractive Error, Michael Moore, James Loughman, John Butler, Arne Ohlendorf, Siegfried Wahl, Daniel Ian Flitcroft Jan 2021

Application Of Big-Data For Epidemiological Studies Of Refractive Error, Michael Moore, James Loughman, John Butler, Arne Ohlendorf, Siegfried Wahl, Daniel Ian Flitcroft

Articles

Purpose

To examine whether data sourced from electronic medical records (EMR) and a large industrial spectacle lens manufacturing database can estimate refractive error distribution within large populations as an alternative to typical population surveys of refractive error.

Subjects

A total of 555,528 patient visits from 28 Irish primary care optometry practices between the years 1980 and 2019 and 141,547,436 spectacle lens sales records from an international European lens manufacturer between the years 1998 and 2016.

Methods

Anonymized EMR data included demographic, refractive and visual acuity values. Anonymized spectacle lens data included refractive data. Spectacle lens data was separated into lenses …


A Systematic Approach To Big Data Analysis In Cataract Patients In Telangana State, India, Amna Alalawi Oct 2020

A Systematic Approach To Big Data Analysis In Cataract Patients In Telangana State, India, Amna Alalawi

Full-Text Theses & Dissertations

Big data is the new gold, especially in healthcare. Advances in collecting and processing Electronic Medical Records (EMRs), coupled with increasing computer capabilities have resulted in an increased interest in the use of big data in healthcare. Big data require collection and analysis of data at an unprecedented scale and represents a paradigm shift in healthcare, offering on one hand the capacity to generate new knowledge more quickly than traditional scientific approaches, and, on the other hand, a holistic understanding of specific illnesses when socio-demographics are incorporated in the analysis. Big data promises more personalized and precision medicine for patients …