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Research in the Field of Strabismus and Pediatric Ophthalmology Using Claim Dataset
Ann Optom Contact Lens 2020;19:93-96
Published online December 25, 2020
© 2020 The Korean Optometry & Contact Lens Study Society

Won Yeol Ryu, MD, PhD

Department of Ophthalmology, Dong-A University College of Medicine, Busan, Korea
Correspondence to: Won Yeol Ryu, MD, PhD
Department of Ophthalmology, Dong-A University College of Medicine, #26 Daesingongwon-ro, Seo-gu, Busan 49201, Korea
Tel: 82-51-240-2737, Fax: 82-51-254-1987
* This work was supported by the Dong-A University research fund.
Received September 14, 2020; Revised November 11, 2020; Accepted November 16, 2020.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
The exponential increasing data are generated from health care including the ophthalmology and the big data has been analyzing for being used in a variety of researches. The national health insurance covers all citizens in South Korea and claims that the data from the National Health Insurance Sharing Service (NHIS) could be useful for the research of big data. The NHIS is a data created from providing health care services that gives all of the information related to the diagnosis, treatment, cost, and personal information. Therefore, it is possible to embark on projects that was difficult to perform previously, such as researches about rare diseases targeted towards a large group of people, or the incidence and prevalence of a certain disorder, a prognosis of the treatment and complications of the epidemiological research, and its relationship with the potential risk. Even though there are some limitations of surgical and coding problems within the field of pediatric ophthalmology and strabismus, it will be possible to make it very useful. In addition, it would be able to apply it to other ophthalmological fields.
Keywords : Big data; Claim data; National Health Insurance Sharing Service

December 2020, 19 (4)