• Journal of Preventive Medicine and Public Health
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• v.25 no.3 s.39
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• pp.303-311
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• 1992

It is very important to estimate the future medical care expenditure, because medical care expenditure escalation is a big problem not only in the health industry but also in the Korean economy today. This study was designed to project the medical care expenditure in view of population age change. The data of this study were the population projection data based on National Census Data(1990) of the National Statistical Office and the Statistical Reports of the Korea Medical Insurance Corporation. The future medical care expenditure was eatimated by the regression model and the optional simulation model. The significant results are as follows : 1. The future medical care expenditure will be 3,963 billion Won in the year 2000, 4,483 billion Won in 2010, and 4,826 billion Won in 2020, based on the 1990 market price considering only the population age change. 2. The proportion of the total medical care expenditure in the elderly over 65 will be 10.4% in 2000, 13.5% in 2010, and 16.9% in 2020. 3. The future medical care expenditure will be 4,306 billion Won in the year 2000, 5,101 billion Won in 2010, and 5,699 billion Won in 2020 based on the 1990 market price considering the age structure change and the change of the case-cost estimated by the regression model. 4. When we consider the age-structure change and inflation compared with the preceding year, the future medical care expenditurein 2020 will be 21 trillion Won based on a 5% inflation rate, 42 trillion Won based on a 7.5% inflation rate, and 84 trillion Won based on a 10% inflation rate. Consideration of the aged(65 years old and over) will be essential to understand the acute increase of medical care expenditure due to changes in age structure of the population. Therefore, alternative policies and programs for the caring of the aged should be further studied.

• Journal of Korean society of Dental Hygiene
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• v.21 no.1
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• pp.27-40
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• 2021

Objectives: This study investigated the working conditions of dental hygienists and their challenges in providing oral care to older adults with dementia using focus group interviews. Methods: We collected data for approximately a month beginning from August 2020 and divided the study subjects into two groups: the health dental hygienist and the clinical dental hygienist groups. A total of 11 subjects participated in this study. Results: The oral health management of older adult patients with dementia has not been efficiently carried out in local communities or dental medical institutions. In addition, dental hygienists encounter difficulties in managing the oral health of these patients and hope to actively learn more about their special cases. Conclusions: Based on the results of this study, it is necessary to develop a manual or program for the professional implementation of oral health interventions for older adults with dementia.

• Korea Journal of Hospital Management
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• v.16 no.3
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• pp.1-18
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• 2011

In this study, population census(2005 & 2008) from Statistics Korea and the statistical data of the number of hospital beds by healthcare facilities classification from Ministry of Health and Welfare were used. For analyzing distribution of hospital beds, hospital beds were classified as acute care beds, long-term care beds and all hospital beds, which is including acute and long-term care beds. Regional areas, which are city(si), county(goon) for the study and district(gu) were reclassified as metropolitan city, city(si) and county(goon). Because there were 165 regional areas in 2005 and 2008, 84 and 81 areas were classified as metropolitan city and/or city and county, respectively. Gini index were calculated for hospital beds from each year, and Lorenz curves were drawn. The following summary presents the findings of this study. Compared to the year 2005 and 2008, the Gini index was 0.24472, and hospital bed numbers increased slightly by 0.80% than in 2005. In case of acute care beds, the Gini index was 0.23797(0.13%), and there was no big difference; however, the Gini index for long-term care beds was 0.41091, and there was a 30.25% decrease, which shows improvement to reduce disparities. It might result from an increase in long-term care beds up to 476.2%. For geographical equality of hospital beds, the Gini index and Lorenz curve, which can be compared the degree of inequality in the distribution of hospital beds reasonably and possibly show statistical data, should be used. Through this study, the distribution policy of hospital beds should be established.

• Journal of Korea Multimedia Society
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• v.21 no.2
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• pp.271-280
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• 2018

Recently, big data has been growing rapidly due to the development of IT technology. Especially in the medical field, big data is utilized to provide services such as patient-customized medical care, disease management and disease prediction. In Korea, 'National Health Alarm Service' is provided by National Health Insurance Corporation. However, the prediction model has a problem of short-term prediction within 3 days and unreliability of social data used in prediction model. In order to solve these problems, this paper proposes a disease prediction model using medicine prescription data generated from actual patients. This model predicts the total number of patients and the risk of disease in each region and uses the ARIMA model for long-term predictions.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.551-554
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• 2017

The largest industry in the world is the medical industry, and due to aging and growing demand for well-being, it is necessary to review the competition strategy of the healthcare industry. We will secure competitiveness among medical institutions through the rapid dissemination of ICT convergence, study the intelligence level of digital health care by increasing the capacity of intelligent medical care by combining big data of medical data and artificial intelligence, And to find a countermeasure for constructing a medical optimization model.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.3
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• pp.443-450
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• 2018

Due to the improvement of quality of life, health care is a main concern of modern people, and the demand for healthcare system is increasing naturally. However, it is difficult to provide customized wellness information suitable for a specific user because there are various medical information on the Internet and it is difficult to estimate the reliability of the information. In this study, we propose a user - centered service that can provide customized service suitable for users rather than simple search function by classifying big data as text mining and providing personalized medical information. We built a big data system and measured the data processing time while increasing the Hadoop slave node for efficient big data analysis. It is confirmed that it is efficient to build big data system than existing system.

• Health Policy and Management
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• v.5 no.1
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• pp.31-58
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• 1995

The Korean government achieved the universal coverage of health insurance in July 1989, and concomitantly introduced a new measure of regulated health care delivery system in using medical care. There are three reasons why the government took the new health care delivery system. Firstly, there was ample room for improving the allocative efficiency in the use of medical facilities. And the second one was to constrain the dramatic increase of medical demand under health insurance. Thirdly, and the most important reason was to alleviate the patient crowdedness in big general hospitals, particularly tertiary hospitals. There are essentially two different ways to control the use of health care : one is to cut the demand for health care, and the other to regulate behaviors of providers through the use of incentives/disincentives, demand-side approach or supply-side approach. The objective of this study is to examine whether or not medical care utilization behaviors under health insurance scheme have been changed among medical facilities such as clinic, hospital, general hospital and tertiary hospital in comparison with those before and after the introduction, particularly whether the patient crowdedness in tertiary hospitals has been alleviated or not. In order to conduct this study, the insurance claim data during the period of January 1989 and July 1992 were analyzed by focusing on diagnosis of both inpatients and outpatients, and especially the fifteen most frequent diseases in ambulatory care and the seven most frequent diseases in hospitalizatio. In addition, the same analyses were made on the changes in medical care utilization by specialty department. This was because the five departments, such as family medicine, ENT, eye, dermatology and rehabilitation, were exempted from applying the regulated health care delivery system in tertiary hospitals. The study revealed that a remarkable alleviation effect in the crowdness was noted for tertiary hospitals. This effect was most conspicuous for the most frequent mild diseases of both inpatient and outpatient care. For example, the fifteen most frequent OPD care at tertiary facilities have decreased as much as by 40%, of which 34% belonged to the cut in initial visits. Meanwhile, the proportion of those who used general hospitals and private practitioner's clinics have increased due to the shift of patients. The cases from the five special departments were also decreased, but not so much as other departments. A problem was noted that, as time passed by, the decreasing tendencies of crowdness at tertiary hospitals due to the regulated system became slightly smaller. Therefore, through complementary remedies are needed for the future implementation.

• Journal of Chest Surgery
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• v.49 no.sup1
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• pp.1-13
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• 2016

Background: The purpose of this study was to investigate longitudinal changes of the utilization of operational and surgical medical care inside and outside a metropolitan area over 10 years, analyzing the residential areas of patients and the locations of medical facilities for major cardiovascular surgery. Methods: Data analysis was conducted by classifying the addresses of patients and the locations of medical care facilities of metropolitan cities and provinces, using data from the National Health Insurance Corporation from January 2003 to December 2013. Results: There is serious concentration of major heart surgery to medical facilities in Seoul; this problem has not improved over time. There were differences in percentages of surgical procedures performed in the metropolitan areas according to major diseases. In the case of Busan and Daegu provinces, at least 50% of the patients underwent surgery in medical facilities in the city, but there are other regions where the percentage is less than 50%. In the case of provinces, the percentage of surgical procedures performed in medical facilities in Seoul or nearby metropolitan cities is very high. Conclusion: Policies to strengthen the regional capabilities of heart surgery and to secure human resources are required to mitigate the concentration of patients in the capital area. Many regional multi-centers must be designated to minimize unnecessary competition among regional university hospitals and activate a win-win partnership model for medical services.

• Journal of Korean society of Dental Hygiene
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• v.24 no.1
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• pp.9-16
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• 2024

Objectives: The demand for dental care is expected to increase as the population ages. This study aimed to predict the utilization of dental implant care following the expansion of national health insurance benefits for dental implants. Methods: Multiple linear regression analysis was performed on HIRA big data open portal data and DNN-based artificial intelligence models to forecast the utilization of dental care in relation to the national health insurance coverage for dental implants. Results: National health insurance coverage of dental implants was found to be associated with the number of patients using dental implant services and demonstrated a statistical significance. The dental implant services utilization increased with the increased dental implant health insurance benefits for the elderly population, increased mean by region, increased number of dental institutions by region, and increased health insurance coverage rate for dental implants. However, the dental implant services utilization decreased with the increased number of older people living alone and increased size of dental institutions. Conclusions: With the expansion of the national health insurance coverage for dental implants, it is predicted that the utilization of dental implant medical services will increase in the future.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.1
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• pp.187-195
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• 2019

Recently, it has become possible to collect, store, process, and analyze data generated in various fields by the development of the technology related to the big data. These big data technologies are used for clinical results analysis and the optimization of clinical trial design will reduce the costs associated with health care. Therefore, in this paper, we are going to analyze clinical results and present guidelines that can reduce the period and cost of clinical trials. First, we use Sqoop to collect clinical results data from relational databases and store in HDFS, and use Hive, a processing tool based on Hadoop, to process data. Finally we use R, a big data analysis tool that is widely used in various fields such as public sector or business, to analyze associations.