• Journal of Korea Multimedia Society
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• v.9 no.8
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• pp.1054-1066
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• 2006

This study proposes a new paradigm hospital information system through the nursing classification system and design of the HL7 clinical document architecture (Health Level Seven CDA) for information-sharing among various healthcare institutions. Nursing information CDA are included coding systems of nursing diagnosis, nursing intervention, nursing activity and outcomes. And, we have developed CDA generator for active generation of XML document. This study aims to facilitate the optimum care by providing health information required for individuals to nursing specialists in real-time, to help improvements in health, to improve the quality of productive life. This study has the following significance. First, an expansion and redefining process conducted, founded on the HL7 clinical document architecture and reference information model, to apply international standards to Korean contexts. Second, we propose a next-generation web based hospital information system that is based on the clinical document architecture. In conclusion, the study of the clinical document architecture will include an electronic health record (EHR) and a clinical data repository (CDR), and also make possible healthcare information-sharing among various healthcare institutions.

• Journal of the Society of Disaster Information
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• v.17 no.4
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• pp.778-785
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• 2021

Purpose: The study is to analyze the current status of international clinical trial information services related to COVID-19 and to find out the impact of disclosing activities of clinical trial registration on the medical and pharmaceutical industry. Method: To achieve the purpose of the study, this study analyzed the current status of 780 registered clinical trials for COVID-19 during March of 2020 by using regression analysis. Result: The analysis of clinical trial research registration information showed and proved its usefulness for the development of related new drugs, treatments, vaccines, predictive and prognostic diagnostic kits and treatments related to the COVID-19 (Corona 19) in the world. Conclusion: The study concludes and urges all medical and pharmaceutical companies to register their trials on CRIS and recommends utilizing this registered data to develop advanced drug to benefits all patients related to COVID-19.

• Journal of the Korean Data and Information Science Society
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• v.26 no.3
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• pp.695-706
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• 2015

The purpose of this study was to examine the relationship among self-leadership, critical thinking disposition, satisfaction of clinical practice and clinical practice competency of nursing students. Participants were 199 baccalaureate nursing students (3rd and 4th grades) in 2 cities. The data was collected by questionnaires and were analyzed with the SPSS/Win 21.0 program, using descriptive statistics, Pearson's correlation coefficient and multiple regression. Significant positive correlations were among self-leadership, critical thinking disposition, satisfaction of clinical practice and clinical practice competency. The regression model explained 30.4% of satisfaction of clinical practice. The significant predictors of satisfaction of clinical practice were clinical experience, satisfaction of major, self-leadership and critical thinking disposition. The regression model explained 23.7% of clinical practice competency. Health status, self-leadership and critical thinking disposition were factors influencing clinical practice competency. It should strengthen self-leadership and encourage critical thinking disposition to improve nursing students' satisfaction of clinical practice and clinical practice competency.

• Journal of the Korean Data and Information Science Society
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• v.23 no.4
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• pp.643-648
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• 2012

There are lots of analysis to determine the relation between dependent variable and explanatory variables. Often the regression analysis is used to do this, and we can analyze the how much the explanatory variable can be related with dependent variable and how much the regression model can explain the data. But the validation check of regression model is usually determined by coefficient of determination. We should check the validation of regression coefficient with different methods. This paper introduces the method for validation check the regression coefficient using the jackknife regression and bootstrap regression in clinical data.

• Communications of the Korean Institute of Information Scientists and Engineers
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• v.32 no.1
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• pp.44-52
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• 2014

• Journal of the Korean Data and Information Science Society
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• v.18 no.2
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• pp.411-418
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• 2007

Sample size calculation is very important in clinical trials. In this paper, we propose sample size calculation method for non-inferiority trials using sample size calculation method suggested by Wang et al.(2003) based on Wilcoxon's rank sum test. Also, sample size comparison between parametric method and proposed method are presented.

• Electric Engineers Magazine
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• v.244 no.12
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• pp.21-28
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• 2002

건축분야에서 자원, 에너지 절약을 고려할 때 건설공사, 건물해체, 철거에 따른 에너지소비문제도 중요하지만, 계획단계와 건물의 유지, 운용 단계에서도 에너지절약 대책 또한 매우 중요하다. 건물의 방의 배치, 레이아웃, 디자인이라는 감각적인 성능 평가 뿐만 아니라 에너지, 자원절약의 관점에서도 평가도 중요하며 그 때문에 매력있는 에너지절약 시책과 실적 데이터의 정비가 필요하다.

• Korean Journal of Clinical Laboratory Science
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• v.51 no.1
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• pp.15-25
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• 2019

The development of reliable and objective definitions as well as automated processes for the detection of health care-associated infections (HAIs) is crucial; however, transformation to an automated surveillance system remains a challenge. Early outbreak identification usually requires clinicians who can recognize abnormal events as well as ongoing disease surveillance to determine the baseline rate of cases. The system screens the laboratory information system (LIS) data daily to detect candidates for health care-associated bloodstream infection (HABSI) according to well-defined detection rules. The system detects and reserves professional autonomy by requiring further confirmation. In addition, web-based HABSI surveillance and classification systems use discrete data elements obtained from the LIS, and the LIS-provided data correlates strongly with the conventional infection-control personnel surveillance system. The system was timely, acceptable, useful, and sensitive according to the prevention guidelines. The surveillance system is useful because it can help health care professionals better understand when and where the transmission of a wide range of potential pathogens may be occurring in a hospital. A national plan is needed to strengthen the main structures in HAI prevention, Healthcare Associated Prevention and Control Committee (HAIPCC), sterilization service (SS), microbiology laboratories, and hand hygiene resources, considering their impact on HAI prevention.

• Korean Journal of Clinical Laboratory Science
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• v.51 no.1
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• pp.93-104
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• 2019

This study examined the relationship between the number of medical technologists and the medical test count. Data was obtained from 441 medical technologists in a hospital through a self-reported questionnaire. The Pearson correlation test, student's t-test, ANOVA or descriptive statistics were performed for data analysis. The distribution of medical technologist according to the size of hospitals was small 5.8, medium 14.9, large 25.8, and super 45.4. The analysis demonstrated a relationship between the number of medical technologists and the number of medical tests in the field, number of clinical tests per MT, and number of optimal medical test per MT according to the hospital size (P<0.001). The average time for quality control by the department at a higher hospital was less than two hours. In terms of the satisfaction of salary, work environment, test accomplishment, and welfare service, the dissatisfaction of medical technologists in small and medium hospitals was higher than those in large and super hospitals. Overall, a focus on intensifying systemic supplementation and improving the condition of medical technologists is needed to provide reliable data for medical examinations in medical areas.

• The Journal of the Korea Contents Association
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• v.9 no.11
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• pp.309-315
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• 2009

Image reconstruction of Inverse Fourier Transform after Frequency Domain Data is filtered applies to Image signal acquired from MR. There are various kinds of image processing techniques; image preprocessing, image reconstruction, image compression, image restoration image mixture, noise and artifact elimination, and image quality improvement. In this paper, optimum filter applicable to diagnosis in clinic by comparing and analyzing the characteristics of the filter will be explained. Fermi-Dirac filter will improve the image quality better than the previous MR image.