Kyoungho Choi ¹, Jiae Kim ²

Affiliations
1 Department of Basic Medical Science, Jeonju University, KR
2 Department of Integrated Bio-Resource, Jeonju University, KR

Abstract

U-healthcare is a convergence service combining traditional medical industry and Information Technology (IT). It provides a medical service and healthcare which one can access anytime and anywhere, safely and without limit. As the scale of Korea's U-healthcare market having reached 2 trillion Korean won in 2012, the prospects for this area are bright. At this point, this study has analyzed the efficiency of businesses related to Korea's U-healthcare using DEA (Data Envelopment Analysis) and the Malmquist index. The results show business effectiveness was not as high as expected in efficiency analysis which analyzed 2012 cross-sectional data. However, in the results using the Malmquist index, using 5 years of data to analyze longitudinally, 61.3% of businesses related to U-health have increased their productivity. This study has significance in being the first one to measure the change of efficiency and productivity, domestic U-healthcare, and to be considered to contribute to raising the business efficiency of Korea's U-healthcare.

Keywords

Component, DEA, Efficiency, Healthcare, Malmquist Index.

Full Text

   

Kyoungho Choi ¹

Affiliations
1 Department of Basic Medical Science, Jeonju University, Wansan-gu, Jeonju - 55069, KR

Abstract

Objects: This research is to provide basic information for invigoration of irradiated foods by investigating statistically significant difference about knowledge, attitude and action on irradiated foods, depending on demographical characteristics. Methods/Statistical Analysis: This research subjected on adults of 19 and over. Survey was conducted from 2 Feb. 2015 to 28 Feb. 2015. 416 Respondents inhabit in provinces including Jeollabuk-do and living in capital area as Seoul and Kyeong-ki-do were selected by convenience sampling and data was collected by self-administration method. Findings: We find the following results. First, average score of knowledge level on irradiated foods was 9.62 out of 15, relatively high score compared to preceding research subjected on high school students, as respondents were the adults here. Secondly in attitude aspect of food irradiation, only ‘habitat’ factor showed statistically significant difference in significance level of 5%. Third, about practice level toward food irradiation, as whether checking food irradiation when buying, checking level of rays and recommendation to other, variables like ‘marriage’, ‘religion’ and ‘habitat’ showed statistically significant difference in significance level of 5%. Fourth, as a result of correlation analysis to see if there is statistically significant correlation among knowledge, attitude and practice level toward food irradiation, knowledge and attitude showed statistically significant correlation positively. Improvements/Application: This study is expected to be used in education or promoting plans, dispelling misunderstanding of food irradiation.

Keywords

Correlation Coefficient, Food, Irradiation, Significant Test.

Full Text

   

Seung-Joo Lee ¹, Tae-Jong Han ², Kyoungho Choi ³

Affiliations
1 Department of Statistics, Cheongju University, KR
2 Department of Radiological Science, Jeonju University, KR
3 Department of Basic Medical Science, Jeonju University, KR

Abstract

Background/Objectives: This study was conducted to identify the trends related to the patents for ‘radiation anti-oxidation technology’, and to perform technological forecasting for that technology using statistical methods and data mining techniques. Methods/Statistical Analysis: The extraction of patents for analysis was carried out using a website KIPRIS. Documents including the words ‘irradiation’ and ‘anti-oxidation’ were searched for to target patents registered between January 1999 and January 2015. Finally, a total of 512 patent documents were selected as analysis objects through an editing process. Findings: Key finds are as follows. First, most of the top 10 patents are related to cosmetic development, drug development and food processing. Second, in terms of the degree of support, the degree is high when a technology of A61Q 19/08 is first developed and then a technology of A61K 8/97 is developed. Third, in the top association rules identified using 491 IPC codes included in 512 RFT-related patent documents, the technologies of “proliferation of flowering plants using tissue culture technology” are developed. Application/Improvements: The findings of this study are significant as they have derived basic data for technological forecasting by identifying specific information about core technology factors included in each patent for radiation anti-oxidation technology.

Keywords

Data Mining, IPC Code, Patent, Radiation Fusion Technology, Statistical Analysis.

Full Text

   

Kyoungho Choi ¹

Affiliations
1 Department of Basic Medical Science, Jeonju University, KR

Abstract

Background/Objectives: This research investigated subjective value types of the nursing students about Biomedical Ethics, applying Q-method. Methods/Statistical Analysis: Data collecting process using Q-method is as follows: First, 38 male and female students who understand objective and importance of this study and filled separate 'research participation consent form' out were chosen as subjects, from 1st graders to 4th graders of Nursing department of J university. Data collecting period was from 27 Oct, 2014 to 21 Nov, 2014, through sorting Q-samples and individual interview. Findings: As a result, totally 4 types were deducted. Four types were named respectively as follows; rational conservatives, moderate progressives, reality accepters and unconditional life protectors. Necessity of further development of educational planning adequate for each type's characteristics and curriculum which helps efficient Biomedical Ethics education was brought up. Application/Improvements: This research will be of help in developing course of study that students can learn Biomedical Ethics more efficiently.

Keywords

Biomedical Ethics, Factor Analysis, Nursing Student, Q-Method, Subjectivity.

Full Text