An Analysis on the Effect of Medical Information Application to Prevent Visual Degeneration through Overuse
Seong-Ran Lee, Department of Medical Information, Kongju National University, South Korea.
Manuscript received on 05 March 2019 | Revised Manuscript received on 12 March 2019 | Manuscript Published on 20 March 2019 | PP: 32-35 | Volume-8 Issue- 4S2 March 2019 | Retrieval Number: D1S0008028419/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The paper is to identify the analysis on the effect of medical information application to prevent visual degeneration through overuse of information communication technology such as smartphone, internet etc. Data were surveyed using interview and questionnaires by 134 patients who visited an ophthalmology of a general hospital located in K area. The data were collected by interview and questionnaires from January 22 to April 6, 2018. The results of this study are as follows. Firstly, 76.1% of the experimental group showed a significant rate than 19.4% of the control group when subjects spent the smartphone for more than five hours(X²=3.48, p<.01). Secondly, eye fatigue was decreased significantly by 27.92 points on average after application of medical information than 41.35 points on average before application of medical information(t=.47, p=.000). Thirdly, the experimental group has steadily increased the persistence of recovery against decreased vision since the 11 days than the control group. Fourthly, the experimental group in good posture steadily increased from 11 days than before the application. However, it decreased from 31 days to 41 days. For this purpose, medical information system will contribute to the recovery of visual degeneration caused by overuse of the internet and smartphone.
Keywords: Medical Information, Application, Visual Degeneration, Overuse, Technology.
Scope of the Article: Information Retrieval