• The Journal of Industrial Distribution & Business
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• v.12 no.12
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• pp.11-24
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• 2021

Purpose: The purpose of this study was to provide comprehensive measures for the development of public health care through a survey on consumers' awareness of health care use from the point of view of local residents. Research design, data and methodology: For about one week from January 07 to January 14, 2021, questionnaires were distributed to 800 local residents and analyzed. For statistical analysis of collected data, frequency analysis and cross-analysis were performed. Results: Regarding public health service, 'providing medical services that can be used by all citizens and protect and promote health' had the highest response rate of 95.2% of total respondents. Regarding health care system satisfaction, 'Accessibility to general treatment' had the highest score with an average of 3.31 points. Regarding comprehensive measures for the development of public health care, 'Establishment of an infection and patient safety system' had the highest score with an average of 3.91 points. Conclusions: The direction of public health care and services should include management of infectious diseases during national disasters, reduction of gaps in medical use by region and class, improvement of access to emergency medical care, and quality improvement of specialized medical care.

• The Journal of the Korea institute of electronic communication sciences
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• v.7 no.6
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• pp.1259-1273
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• 2012

As a society of knowledge and information has been developed rapidly, because of changing from web environment to ubiquitous environment, a lot of countries across the world as well as S. Korea for national information with electronic Government have a variety of changes with big data. So this study is about development for national information and e-government of S. Korea with public data as big data analysed by the application of scenario planning. And then this research focused on the strategy consulting of national information with e-Government of S. Korea for utilization of public data as big data analysed by the application of 'scenario planning' as a foresight method. As a result, the future policy for utilization of public data as big data for national information with electronic government of S. Korea is to further spur the development of technology for linked data with semantic web for 'understanding of machine' than 'understanding of man'.

• The Journal of Bigdata
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• v.6 no.2
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• pp.1-15
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• 2021

The unprecedented pandemic of infectious diseases called COVID-19 has dampened human and material movement, and changes in the global economic structure have caused various economic and industrial problems such as worsening employment along with the domestic and international economic recession. In this crisis situation, the government announced the "New Deal" as a new card to enhance economic vitality following the "emergency disaster support fund." This means that the first business of the Digital New Deal, the beginning and core of the New Deal, begins digital transformation from collecting data, which is the "rice" of digital transformation to the data dam. Until now, not only the government but also local governments have established and operated platforms for collecting and sharing public data by establishing various data portals. It is evaluated that it lacks utilization for commercialization as not only the government but also local governments focus only on building the platform without considering the business model when building the initial public data platforms. In particular, in the case of regions, there is a lack of public data to be used for data business, so it is necessary to utilize data from public institutions in the region. In this study, various data collection, data quality improvement, and data utilization improvement were suggested as measures to solve these problems.

• Knowledge Management Research
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• v.20 no.4
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• pp.23-38
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• 2019

The Korean government has been trying to create new economic value-added and jobs by the openness and utilization of open government data. However, most of open government data has poor utilization rate. Although open government data standardization is a major cause of those inactivation, it is not sufficient to conduct empirical research on open government data itself. Based on this trend, this paper aims to find the priority area for opening data and suggests a realistic directions of standardization of open government data. Text mining and social network analysis approaches are used to analyze open government data and standardization. This research suggests the guides to open government data managers in practical view from selection of data to standardization direction. In addition, this research has academic implications to the knowledge management systems in terms of suggesting standardization direction by using various techniques.

• Journal of Korean Society of Rural Planning
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• v.29 no.4
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• pp.153-163
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• 2023

This study was conducted to review data utilization plans and suggest solutions based on the need for tools that can objectively diagnose problems in rural areas. The study extracted items through prior research and was carried out as a process of reviewing data capable of constructing spatial data. The results performed in the above manner are as follows. First, prior research and expert surveys were conducted to select diagnostic items to derive details of a total of three items that should be considered for rural space plans such as regional revitalization and regeneration using regional characteristics such as environment, society, and culture. Second, as a result of listing data available for regional diagnosis, 6 types of environment, 15 types of society, and 18 types of culture were selected out of a total of 529. Finally, it was suggested to establish a national standard spatial unit by grasping the limitations of public data such as omission of spatial data and accuracy. This study is significant in that it presented implications for data utilization as well as selection of items for rural diagnosis and reviewed data utilization based on rural specialized districts of "The Act on Support for Restructuring and Regeneration of Rural Spaces" to be implemented in 2024. This is considered to be valuable as a study for sustainable rural diagnosis if processes such as spatial data construction and weight setting are carried out in the future.

• Journal of the HCI Society of Korea
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• v.10 no.1
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• pp.5-17
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• 2015

Nowadays various public data have been serviced to the public. Through the opening of public data, the transparency and effectiveness of public policy developed by governments are increased and users can lead to the growth of industry related to public data. Since end-users of using public data are citizens, it is very important for everyone to figure out the meaning of public data using proper visualization techniques. In this work, to indicate the significance of widespread public data, we consider UN voting record as public data in which many people may be interested. In general, it has high utilization value by diplomatic and educational purposes, and is available in public. If we use proper data mining and visualization algorithms, we can get an insight regarding the voting patterns of UN members. To visualize, it is necessary to measure the voting similarity values among UN members and then a social graph is created by the similarity values. Next, using a graph layout algorithm, the social graph is rendered on the screen. If we use the existing method for visualizing the social graph, it is hard to understand the meaning of the social graph because the graph is usually dense. To improve the weak point of the existing social graph visualization, we propose Friend-Matching, Friend-Rival Matching, and Bubble Heap algorithms in this paper. We also validate that our proposed algorithms can improve the quality of visualizing social graphs displayed by the existing method. Finally, our prototype system has been released in http://datalab.kunsan.ac.kr/politiz/un/. Please, see if it is useful in the aspect of public data utilization.

• Journal of Korean Public Health Nursing
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• v.27 no.3
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• pp.578-591
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• 2013

Purpose: The purpose of this research was to identify the health behaviors, health status, and utilization patterns of health care institutions for homeless shelter residents as well as to compare these research outcomes between younger and older male homeless shelter residents. Methods: The subjects in this study were 357 homeless shelter residents that were recruited by simple random sampling. Data were collected from August to September 2009. Health behaviors, health status, and utilization patterns of health care institutions were measured using structured questionnaires. Data were analyzed using the Chi square test and Fisher's exact test using SPSS 14.0. Results: Both younger and older male subjects showed unhealthy behaviors, and their health status was lower than that of the Health & Nutrition Examination Survey conducted in 2009. Subjects preferred to utilize national or municipal hospitals as well as pharmacies as opposed to general hospitals, clinics, and public health centers. Conclusion: Differentiated comprehensive health care services and monitoring should be provided to homeless shelter residents based on the needs of each group in order to improve their health status as well as to prevent communicable diseases and complications of chronic diseases.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.13
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• pp.5265-5270
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• 2014

Background: In Korea, the National Health Insurance program has initiated various copayment policies over a decade in order to alleviate patient financial burden. This study investigated healthcare spending and utilization in the last 12 months of life among patients who died with lung cancer by various copayment policy windows. Materials and Methods: We performed a retrospective cohort study using nationwide lung cancer health insurance claims data from 2002 to 2012. We used descriptive and multivariate methods to compare spending measured by total costs, payer costs, copayments, and utilization (measured by length of stay or outpatient days). Using 1,4417,380 individual health insurance claims (inpatients: 673,122, outpatients: 744,258), we obtained aggregated healthcare spending and utilization of 155,273 individual patient (131,494 inpatient and 103,855 outpatient) records. Results: National spending and utilization is growing, with a significant portion of inpatient healthcare spending and utilization occurring during the end-of-life period. Specifically, inpatients were more likely to have more spending and utilization as they got close to death. As coverage expanded, copayments decreased, but overall costs increased due to increased utilization. The trends were the same in both inpatient and outpatient services. Multivariate analysis confirmed the associations. Conclusions: We found evidence of the higher end of life healthcare spending and utilizations in lung cancer patients occurring as coverage expanded. The practice pattern within a hospital might be influenced by coverage policies. Health policy makers should consider initiating various health policies since these influence the long-term outcomes of service performance and overall healthcare spending and utilization.

• Journal of Preventive Medicine and Public Health
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• v.18 no.1
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• pp.13-24
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• 1985

This study seeks to provide a framework for understanding differential access to medical care. The framework is provided by Anderson Model, a model of health services utilization which suggests a sequence of predisposing, enabling, illness-morbidity characteristics that determine the number of times people will visit a physician. The framework in this study is composed of two models, one is for Adults and the other is for Non-Adults. Models are operationalized using stepwise multiple regression analysis and path analysis. The data come from a national health survey conducted in 1983. The findings of the analysis can be summarized as follows : First, the causal models used in this study are able to explain only a small amount of the variance in medical care utilization(Adjusted $R^2$ is .144 in the Model for Adults and .243 in that for Non-Adults). This finding suggests that we reconsider the utility of such existing model using the predisposing, enabling, and illness-morbidity characteristics in light of their poor correspondence with these data. Second, while small amount of the valiance in medical care utilization is explained, most of the explained variance is due to the illness-morbidity characteristics. The path coefficients of study variables except illness-morbidity variables show these characteristics to be substantially unrelated to medical care utilization, and the indirect effects of the predisposing and edabling characteristics on medical care utilization are also negligible. This casts doubt on the importance of the predisposing and enabling characteristics in explaining medical care utilization. Third, among the predisposing and enabling characteristics, Medical Security variable is the only one having significant direct effect on medical care utilization in both models for Adults and for Non-Adults. Fourth, the amount of the variance explained in the Model for Non-Adults is more than in the Model for Adults. This suggests that medical care utilization of adults is more influenced by behavioral factors than that of children.

• Journal of Korean Public Health Nursing
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• v.36 no.2
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• pp.240-252
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• 2022

Purpose: The purpose of this study was to draw practical implications applicable to the field by analyzing a double-mediator model of social participation and depression in relation to the utilization of Information Communication Technology (ICT) and cognitive function. Methods: The data from the Fifth Living Profiles of Older People Survey in Korea was used, and the sample included 3,925 people, 75 years of age or older. Descriptive statistics, correlation analysis, and the PROCESS macro test were used for verification of the double mediator model. Results: The results were as follows: First, ICT utilization was rated at an average of 1.4 out of 10, social participation at an average of 1.1 out of 7, depression at an average of 3.72 out of 15, and cognitive function at an average of 22.42 out of 30. Second, ICT utilization has a significant effect on cognitive function. Third, the mediating effects of social participation between ICT utilization and cognitive function were significant. Fourth, the mediating effects of depression between ICT utilization and cognitive function were not significant. Fifth, the serial double mediator effects leading to ICT utilization, social participation, depression, and cognitive function were significant. Conclusion: The study discussed the implications of maintaining and protecting cognitive function in the vulnerable elderly through the utilization of ICT.