• Journal of KIISE:Computing Practices and Letters
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• v.13 no.3
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• pp.131-140
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• 2007

A general medical information service in hospitals recently has been rapidly developed in the effective patient management due to the digitalization. In addition, the hospitals make an effort to support the medical information service in ubiquitous environment. A key requirement in ubiquitous environment is the ability to communicate between the image viewer system using the DICOM standard and a server system to support the medical information service. This paper describes a remote networking system based on the mobile terminal with RFID technology for the medical information service. In order to apply the overall configuration, we first implemented the DICOM viewer system, configured the database to store the patient information, and realized the server/client networking system in mobile terminal environment. In particular, this paper showed the capability for the medical image-based communication as well as the text-based communication.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.57 no.6
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• pp.1058-1062
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• 2008

In clinical decision support system(CDSS), unlike rule-based expert method, appropriate data-driven machine learning method can easily provide the information of individual feature(clinical test) for disease classification. However, currently developed methods focus on the improvement of the classification accuracy for diagnosis. With the analysis of feature importance in classification, one may infer the novel clinical test sets which highly differentiate the specific diseases or disease states. In this background, we introduce a novel CDSS that integrate a classifier and feature selection module together. Random forest algorithm is applied for the classifier and the feature importance measure. The system selects the significant clinical tests discriminating the diseases by examining the classification error during backward elimination of the features. The superior performance of random forest algorithm in clinical classification was assessed against artificial neural network and decision tree algorithm by using breast cancer, diabetes and heart disease data in UCI Machine Learning Repository. The test with the same data sets shows that the proposed system can successfully select the significant clinical test set for each disease.

• Journal of Biomedical Engineering Research
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• v.26 no.4
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• pp.185-191
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• 2005

In this paper, we proposed a downscaled 3D object technique using medical images for telediagnostic use. The proposed system consisted of downscaling/thresholding processes for building a downscaled 3D object and a process for obtaining 2D images at specific angles for diagnosis support. We used 80 slices of Digital Imaging and Communication in Medicine(DICOM) CT images as sample images and the platform-independent Java language for the experiment. We confirmed that the total image set size and transmission time of the original DICOM image set using a down-scaled 3D object decreased approximately $99\%\;and\;98.41\%,$ respectively. With additional studies, the proposed technique obtained from these results will become useful in supporting diagnosis for home and hospital care.

• The Journal of the Korea Contents Association
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• v.16 no.3
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• pp.257-268
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• 2016

The purpose of this research is to find the cause of low degree of utilization of medical equipment that are provided as Official Development Assistance(ODA) and to suggest an effective medical equipment support system for ODA. This research analyzes the supporting process of the medical equipment as ODA in Kitengela Health Center in Kenya. As the result of analysis, it has been found that the following problems. 1) It was found that users was attended insufficient to demand medical equipment. 2) The determination of medical equipment request was inadequate. 3) It was appeared to be organized the compilation of the budget for purchases and operation of medical equipment 4) The improvement of procurement system of medical equipment was appeared to need. 5) It was appeared to need to build conditions for installation of medical equipment. 6) It was necessary to secure finance, to conduct periodic management training, and to ensure available human resources in management and maintenance in order to sustain the medical equipment management ability and it is encouraged to promote leadership in healthcare facility management. Finally, the theoretical and practical implications of this research are discussed.

• Journal of Preventive Medicine and Public Health
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• v.56 no.2
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• pp.128-144
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• 2023

Objectives: The health system reform process is highly political and controversial, and in most cases, it fails to realize its intended goals. This study was conducted to synthesize factors underlying the failure of health system reforms. Methods: In this systematic review and meta-synthesis, we searched 9 international and regional databases to identify qualitative and mixed-methods studies published up to December 2019. Using thematic synthesis, we analyzed the data. We utilized the Standards for Reporting Qualitative Research checklist for quality assessment. Results: After application of the inclusion and exclusion criteria, 40 of 1837 articles were included in the content analysis. The identified factors were organized into 7 main themes and 32 sub-themes. The main themes included: (1) reforms initiators' attitudes and knowledge; (2) weakness of political support; (3) lack of interest group support; (4) insufficient comprehensiveness of the reform; (5) problems related to the implementation of the reform; (6) harmful consequences of reform implementation; and (7) the political, economic, cultural, and social conditions of the society in which the reform takes place. Conclusions: Health system reform is a deep and extensive process, and shortcomings and weaknesses in each step have overcome health reform attempts in many countries. Awareness of these failure factors and appropriate responses to these issues can help policymakers properly plan and implement future reform programs and achieve the ultimate goals of reform: to improve the quantity and quality of health services and the health of society.

• Korean Medical Education Review
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• v.14 no.1
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• pp.37-49
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• 2012

The main purpose of this study is to examine the improvement and discourse of the medical education system in Korea since 1990. In particular, this study, focusing on the graduate medical education system initiated in 2002, has explored the discussions that led to the system's establishment and what the context of those discussions. To meet this objective, this study analyzed research report related to the medical education system authored by members of the government and medical community, suggestions to the government, discussion materials, and data with regard to the Medical (Dental) Education Eligibility Test. The improvement of the medical education system in Korea has been an important issue in education reform by the expansion of the number of years of higher education, the requirements for increased levels of professional knowledge by improving public educational standards, and the basic formation policy of higher education consisting of graduate school, special graduate school, and professional graduate school. Nevertheless, the views of the government and the medical community on improving medical education system have made an obvious difference. This was due to different aims about how to improve the medical education system and different perception of the degree and medical education system. The medical community at least tended to prefer the status of academic positions over professional positions. The policy of medical education for people with a bachelor's degree which was introduced in 2002 spread to many colleges of medicine based on the government's administrative and financial support policy. Even so, the absence of accompanying policy by the relevant government agencies and department of education, which could have ensured the success of the system, has led to continued debate. In conclusion, without a consistent and persistent government policy, the graduate medical education system has led to confusion in many medical institutions. Above all, an evidence-based policy decision and policy approach based on a long-term perspective are necessary in order to improve the medical education system.

• Journal of Korean Academy of Nursing Administration
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• v.20 no.5
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• pp.525-534
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• 2014

Purpose: The purpose of this study was to identify moderating and mediating effects of social support in the relationship between work-family conflict, job satisfaction and turnover intention among married women nurses. Methods: The sample for this study consisted of 225 married female nurses from two hospitals located in Seoul. Data were collected through structured questionnaires and analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation coefficients and hierarchical multiple regression with the SPSS 21.0 program. Results: (a) Social support of married female nurses had significant moderating and mediating effects between work-family conflict and job satisfaction. (b) Social support of married female nurses had significant moderating and mediating effects between work-family conflict and turnover intention. Conclusion: The results of the study indicate that social support is an important factor in work-family conflict, job satisfaction and turnover intention among married female nurses. Supervisor support is important to married nurses as social support as it is controlled by the organization. Therefore, supportive relationships based on mutual respect between supervisors and nurses are necessary for a creative organizational atmosphere and system.

• Transactions of the KSME C: Technology and Education
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• v.5 no.1
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• pp.23-52
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• 2017

Bio-fusion and medical device industry is the multidisciplinary engineering application technology industries, which are fused, such as electricity, electronics, machinery, materials. It aims to improve the quality of human life by using bio-fusion and medical devices, and is an important industry recognition and brand power for the product. However, there is a period that is required from the development of products with technology-dependent industries. Therefore, it is necessary to have continuous effort for industrial investment in research and development at the national level including technical support, institutional support, and human resources.

• Journal of Korea Multimedia Society
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• v.19 no.3
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• pp.595-602
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• 2016

With the evolution and development of many kinds of healthcare devices and techniques, u-health standards have emerged as a major issue. Yet, most legacy medical devices and systems are still being used without deployment of the standards. Therefore, it is required to support backward compatibility for u-health standard-compliant systems to communicate with legacy non-standard medical and healthcare devices. This paper proposes a new scheme to support backward compatibility of IEEE 11073 system by adding a codec module to IEEE 11073 agent. The codec converts data sent by non-standard health devices to IEEE 11073 MDER data. Plus, we implemented the proposed IEEE 11073 agent with an Intel Edison board which is one of popular open source H/W platforms. The IEEE 11073 manager of the proposed system can monitor and control legacy non-standard devices through the proposed agent system. In our experimental results, we examined the proposed system can support interoperability between u-health standard and non-standard devices and contribute to the growth and expansion of u-health services.

• Quality Improvement in Health Care
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• v.8 no.2
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• pp.186-207
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• 2001

Background : This study presented an analysis of healthcare quality indicators using data mining and a development of decision support system for quality improvement. Method : Specifically, important factors influencing the key quality indicators were identified using a decision tree method for data mining based on 8,405 patients who discharged from a medical center during the period between December 1, 2000 and January 31, 2001. In addition, a decision support system was developed to analyze and monitor trends of these quality indicators using a Visual Basic 6.0. Guidelines and tutorial for quality improvement activities were also included in the system. Result : Among 12 selected quality indicators, decision tree analysis was performed for 3 indicators ; unscheduled readmission due to the same or related condition, unscheduled return to intensive care unit, and inpatient mortality which have a volume bigger than 100 cases during the period. The optimum range of target group in healthcare quality indicators were identified from the gain chart. Important influencing factors for these 3 indicators were: diagnosis, attribute of the disease, and age of the patient in unscheduled returns to ICU group ; and length of stay, diagnosis, and belonging department in inpatient mortality group. Conclusion : We developed a decision support system through analysis of healthcare quality indicators and data mining technique which can be effectively implemented for utilization review and quality management in a healthcare organization. In the future, further number of quality indicators should be developed to effectively support a hospital-wide Continuous Quality Improvement activity. Through these endevours, a decision support system can be developed and the newly developed decision support system should be well integrated with the hospital Order Communication System to support concurrent review, utilization review, quality and risk management.