• Journal of Arbitration Studies
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• v.31 no.2
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• pp.119-135
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• 2021

South Korea has the most advanced technology in the Fourth Industrial Revolution era because of its high-speed Internet commercialization. However, the industry is shrinking due to its various regulations in building and its utilization of personal information as big data. Currently, South Korea's personal data utilization business is in its early stages. In the era of the 4th Industrial Revolution, it is difficult for startups to use data. There are various causes here. Above all, legal regulations to protect personal information are emphasized. This study confirms that transactions of personal medical records through My Data can be made. Moreover, it confirms that there is a need for a mediating role between stakeholders. This study lacks statistical access in the process of performing stakeholder roles. However, personal medical records will be traded safely in the future, and new subjects will enter the market. Furthermore, the domestic bio-industry will develop. Through this study, various problems were derived in establishing Medical MyData in Korea. Moreover, it looks forward to continuing various studies in the health care sector in the future.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.3
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• pp.974-992
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• 2021

Recently, the healthcare field has undergone rapid changes owing to the accumulation of health big data and the development of machine learning. Data mining research in the field of healthcare has different characteristics from those of other data analyses, such as the structural complexity of the medical data, requirement for medical expertise, and security of personal medical information. Various methods have been implemented to address these issues, including the machine learning model and cloud platform. However, the machine learning model presents the problem of opaque result interpretation, and the cloud platform requires more in-depth research on security and efficiency. To address these issues, this paper presents a recent technology for Internet-of-Things-based (IoT-based) health big data processing. We present a cloud-based IoT health platform and health big data processing technology that reduces the medical data management costs and enhances safety. We also present a data mining technology for health-risk prediction, which is the core of healthcare. Finally, we propose a study using explainable artificial intelligence that enhances the reliability and transparency of the decision-making system, which is called the black box model owing to its lack of transparency.

• Health Policy and Management
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• v.21 no.1
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• pp.77-92
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• 2011

Objectives : This study examined the health policy researchers' needs and their accessibility towards health insurance claim datasets according to their academic capacity. Methods : An online questionnaire to capture relevant proxy variables for academic needs, accessibility, and research capacity was constructed based on previous studies. The survey was delivered to active health policy researchers through three major scholarly associations in South Korea. Seven-hundred and one scholars responded while the survey as open for 12 days (starting on December 20th, 2010). Descriptive statistics and logistic regression analysis were carried out. Results : Regardless of the definition for operational needs, the prevalent needs of survey respondents were not met with the current provision of claim data. Greater research capacity was shown to be correlated with increased demand for claim data along with a positive correlation between attempts to obtain claim datasets and research capacity. A greater research capacity, however, was not necessarily correlated with better accessibility to the claim data. Conclusions : The substantial unmet need for claim data among the healthcare policy research community calls for establishing proactive institutions which could systematically prepare and make available public datasets and provide call-in services to facilitate proper handling of data.

• Journal of Korean Academy of Nursing Administration
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• v.14 no.4
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• pp.396-403
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• 2008

Purpose: The purpose of this study was to identify experiences when Koreans who reside in Thailand visit Thai health facilities. Methods: The data were collected via direct interview from 36 Korean residents of Thailand. Collected data were analyzed by content analysis. Result: 1) 162 content analysis data were collected from the participants' statements. These data were categorized into 70 attributes and 9 higher attributes. 2) Out of the 70 attributes, the 3 attributes which were most commonly mentioned by the participants were the following: medical expense for foreigners were expensive(66.7%), difficulties in communication with health care providers(36.1%), kindness of nurses(33.3%). 3) The 9 higher attributes were 1) high medical expense to foreigner, 2) difficulties in communication, 3) distrust about medical service, 4) excessive prescription in oral medicine, 5) kindness, 6) good service, 7) difference in medical environment according hospital type, 8) irrational process in medical treatment for out patients, 9) cultural difference in postpartum care. Conclusion: When Korean residents in Thailand use Thailand health facilities, they experience high medical expense, difficulties in communication, low quality in medical service and kindness of the medical staff.

• Safety and Health at Work
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• v.9 no.4
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• pp.462-467
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• 2018

Background: This study was conducted to investigate the effects of work on medical expenditures by the elderly. Methods: Data pertaining to individuals aged 65 or older collected by the Korean Health Panel 2008-2013 were used. The effects of work on medical expenditures were analyzed in a panel tobit model adjusted for several variables of demographic factors, socioeconomic factors, and health factors for health care. Data were also analyzed based on age groups (65-74, $75{\leq}$), type of work (waged or self-employed), and working time (daytime work or night time work). Results: Among the elderly older than 65 years, 34-37% were workers. Work among the elderly reduced medical expenditures relative to nonworking elderly. Specifically, medical expenditures were lower in individuals older than 75 years, as well as among those who were self-employed insured and had medical aid insurance and those who exercised. However, medical expenditures were higher among females, married individuals, those with a higher household income, and those with a chronic disease. Elderly wageworkers showed reduced medical expenditures than nonworking elderly and elderly daytime workers did. Conclusion: The elderly population's work, especially wage work and daytime work, reduced medical expenditures relative to no work. These results provide valuable information for policymakers by indicating that work was associated with lower medical expenditures than no work. If elderly work is to be encouraged, it is necessary to provide a variety of high-quality wage work.

• Health Policy and Management
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• v.29 no.3
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• pp.332-341
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• 2019

Background: This study analyzes the effects of the individual's health behavior on the health and the medical demand for the management of health and medical expenses. Methods: This study uses the Korea Health Panel Survey data from 2010 to 2015. We utilize the panel ordered logit model and the panel Tobit model with the subjective health status and the medical expenses as the dependent variables. Results: Chronic diseases would cause the deterioration of his or her health and the increase in medical expenses. Smoking and drinking alcohol would deteriorate one's health. The total amount of cigarettes increases medical expenses. Exercises could make people healthier, whereas excessive exercise might increase medical expenses. Private health insurance would increase medical expenses. Conclusion: Since health could reduce the medical expenses, people should promote one's health by changing one's behavior for health.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.5
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• pp.2201-2204
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• 2014

Russian rates for melanoma incidence and mortality are relatively low as compared to some other white populations but the tumor is of increasing importance. In this paper, data are based on a retrospective descriptive analysis of melanoma epidemiology and clinicopathological characteristics in Krasnoyarsk Territory belonging to the Siberian Federal District of the Russian Federation. The age-adjusted incidence and mortality rates for the period 1996-2009 were determined with subsequent retrospective analysis of clinicopathological data of 103 primary melanoma cases. Our results showed that incidence and mortality rates in the region under consideration match the Russian national trends and correspond to epidemiological data of the countries of Eastern Europe. Stratification of melanoma cases by age, sex, clinicopathological state and localization revealed a prevalence of lesions on the trunk and lower extremities. Most melanomas diagnosed were of superficial spreading type and the third Clark's level of tumor invasion and stage II according to AJCC. In spite of comparatively low rates of incidence and mortality the trend to increase of melanoma cases in the region under consideration obviously calls for more attention and further investigation.

• IEMEK Journal of Embedded Systems and Applications
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• v.7 no.5
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• pp.219-226
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• 2012

The rises of the life index quality together with the medical technology improvement lead to a longer life expectancy. Then a better health care program, especially for elderly, is needed. The common health problems facing those senior citizens are changed from acute diseases to chronic diseases, such as diabetes, hypertension. Then u-Health takes center stage in medical industry. Although u- Health medical device manufacturers have been improving their instruments, these instruments still rely on proprietary technologies without fixed platform. Even if the interface has been provided by the manufacturer, there is no widely-accepted uniform data model to access data of various u-Health devices. IEEE 11073 is a standard attempting to unify the interfaces of all medical devices. In this paper we have proposed a conversion software platform that assures interoperability among medical devices for ubiquitous sensor network. This module uses in order to develop a standard platform of medical system.

• Korea Journal of Hospital Management
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• v.12 no.1
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• pp.31-50
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• 2007

This study was carried out to analyze the present condition of high-price medical technologies in South Korea and to compare it with OECD countries. This study included 10 high-price medical equipments and used medical equipment registry data of Health Insurance Review Agency. The major findings of this study are as follows; Firstly, The number and growth of high-price medical equipments in South Korea is much higher than those in other OECD countries. There are many of high-price medical equipments even in clinics. Secondly, the percentage of old poor-quality medical equipments is very high, especially in clinics. This is because of high-price of medical equipments. The results of this study implicated that there is high possibility of inappropriate use of high-price medical technologies. This may result in the increase of health expenditure; therefore, there should be a kind of regulation policy to control amount and quality of medical equipment.

• Journal of Convergence for Information Technology
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• v.9 no.9
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• pp.195-200
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• 2019

The purpose of this study is to analyze the characteristics of National Health Insurance claim data and to construct a pilot medical episode data considering it. In this study, the trends of respiratory disease (ICD10: J00-J99) cardiovascular disease (ICD10: I00-I99) from the day of onset of treatment to re-admission after admission were confirmed in Seoul, and the largest decrease was observed when the no-treatment period was 0 day. The data reduction rate when the no-treatment period is 0 day is judged to be due to the monthly separation claim of the health insurance claim data. Also, the result that there is a tendency of monthly separation request according to the type of medical treatment. Through this study, we constructed epidemic data for the pilot medical treatment considering the characteristics of the claim data of health insurance, and based on this, it can be used as a data processing method for calculating basic epidemiological information.