Big Data And Ophthalmic Research

Abstract Large population-based health administrative databases, clinical registries, and data linkage systems are a rapidly expanding resource for health research. Ophthalmic research has benefited from the use of these databases in expanding the breadth of knowledge in areas such as disease survei...

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Bibliographic Details
Published in:Survey of ophthalmology 2016-07, Vol.61 (4), p.443-465
Main Authors: Clark, Antony, PhD, Ng, Jonathon Q., PhD, Morlet, Nigel, FRACS, Semmens, James B., MSc, PhD
Format: Article
Language:English
Subjects:
big data
clinical registry
data linkage
Databases, Factual
health services research
Health Services Research - organization & administration
Humans
ophthalmic epidemiology
Ophthalmology
Registries
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Summary:Abstract Large population-based health administrative databases, clinical registries, and data linkage systems are a rapidly expanding resource for health research. Ophthalmic research has benefited from the use of these databases in expanding the breadth of knowledge in areas such as disease surveillance, disease etiology, health services utilization, and health outcomes. Furthermore, the quantity of data available for research has increased exponentially in recent times, particularly as e-health initiatives come online in health systems across the globe. We review some big data concepts, the databases and data linkage systems used in eye research--including their advantages and limitations, the types of studies previously undertaken, and the future direction for big data in eye research.
ISSN:0039-6257
1879-3304
DOI:10.1016/j.survophthal.2016.01.003