• 한국의료질향상학회지
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• 제8권2호
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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.

• 중환자간호학회지
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• 제14권3호
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• pp.26-36
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• 2021

Purpose : This study aimed to present the incidence of pressure ulcers and identify different associated factors according to the time of occurrence of pressure ulcers in intensive care unit (ICU) patients. Methods : The participants were 313 patients who reported pressure ulcers among 2,908 patients in ICUs at a large tertiary hospital in Gyeonggi-do. Among them, 220 patients (70.3%) had a pressure ulcer before admission, and 93 patients (29.7%) reported newly developed pressure ulcers after admission to the ICU. Data were collected between August 2018 and April 2019. Along with the time of occurrence and characteristics of pressure ulcers, diverse associated factors were gathered through electronic medical records. Data were analyzed using descriptive statistics, independent t-tests, and 𝑥²-tests. Results : Different risk factors associated with pressure ulcers in ICU patients according to the time of occurrence were main diagnosis, score of acute physiology and chronic health evaluation, score of Richmond agitation sedation scale, level of consciousness, administered sedatives, use of a ventilator, insertion of a feeding tube, and the duration of fasting period. Conclusion : Based on the results of this study, healthcare providers, especially ICU nurses, should try to detect early signs and symptoms of pressure ulcers, taking into account the derived factors associated with pressure ulcers in ICU patients. Practical intervention programs and strategies considering the factors associated with pressure ulcers must be developed to prevent and alleviate such ulcers in ICU patients in the future.

• 한국멀티미디어학회논문지
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• 제9권12호
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• pp.1607-1616
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• 2006

The growing market of multimedia and digital signal processing requires significant data-path portions of SoCs. However, the common models for verification are not suitable for SoCs. A novel model--WGL (Weighted Generalized List) is proposed, which is based on the general-list decomposition of polynomials, with three different weights and manipulation rules introduced to effect node sharing and the canonicity. Timing parameters and operations on them are also considered. Examples show the word-level WGL is the only model to linearly represent the common word-level functions and the bit-level WGL is especially suitable for arithmetic intensive circuits. The model is proved to be a uniform and efficient model for both bit-level and word-level functions. Then Based on the WGL model, a backward-construction logic-verification approach is presented, which reduces time and space complexity for multipliers to polynomial complexity(time complexity is less than $O(n^{3.6})$ and space complexity is less than $O(n^{1.5})$) without hierarchical partitioning. Finally, a construction methodology of word-level polynomials is also presented in order to implement complex high-level verification, which combines order computation and coefficient solving, and adopts an efficient backward approach. The construction complexity is much less than the existing ones, e.g. the construction time for multipliers grows at the power of less than 1.6 in the size of the input word without increasing the maximal space required. The WGL model and the verification methods based on WGL show their theoretical and applicable significance in SoC design.

• Journal of the Korean Data and Information Science Society
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• 제28권3호
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• pp.669-684
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• 2017

Mediation models are widely used in many fields of research and have recently gained attention in epidemiology. The mediation proportion is a standard measure to evaluate what part of the total exposure effect on an outcome may be explained by a particular mediator and to examine how important that pathway is relative to the overall exposure effect. A common question is how large a sample size is needed to achieve high statistical power or, equivalently, what magnitude of effect can be detected. Current power and sample size calculations for mediation analysis are limited and additional research is needed. We therefore propose a computer-intensive power analysis using the mediation proportion. We conduct simulation studies to calculate statistical powers and sample sizes. And then, we illustrate our power analysis using an example from the Adult Health Study of atomic-bomb survivors and demonstrate that the method is relatively straightforward to understand and compute.

• Journal of Korean Biological Nursing Science
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• 제17권3호
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• pp.271-276
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• 2015

Purpose: This study was to evaluate the effects on the heart rate and respiration rate of preterm infants when providing auditory stimulation on them. Methods: The design of this study was a nonequivalent control group pretest-posttest design in a quasi experimental study. Forty preterm infants were assigned to experimental and control groups : 20 in the auditory and 20 in the control group. The data were collected from May 2014 to October. The auditory stimulation was created by using an audio music tape provided 20-minute per day for 7 consecutive days. In data analysis, SPSS WIN 21.0 program was utilized for descriptive statistics, repeated measurement anova and Mann-Whitney. Results: General characteristics of the two groups showed no significant differences, thus two groups were found to be homogenous. There were no significant differences in heart rate and respiration rate between the auditory and control groups. Conclusion: The effect of auditory stimulation for 7 days was not effective in decreasing heart rate or respiration rate in premature infants. Therefore, the type and length of music therapy must be developed for the improvement of vital signs in preterm infants who were hospitalized in a neonatal intensive care unit.

• 한국비블리아학회지
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• 제13권1호
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• pp.77-92
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• 2002

특정 분야 R&D성과물을 지식정보로 활용하기 위해서는 단순한 연구결과 보고서 제출만으로는 부족하며 더구나 지구촌 단위로 급속하게 변화하는 환경에서는 기존 결과활용에 의한 신속한 R&D에 대한 전략적인 전환지원이 없을 경우에는 영양가 있는 지식생성은 기대하기 힘들다. 본 연구는 지식정보로서 학술연구개발 성과물의 활용 현황과 그 결과로 지원되는 새로운 R&D의 지식생성 수준을 파악하고, 대학의 R&D 사례를 중심으로 관련법이나 규정과 현실과의 상충되는 부분을 지적한다. 결론에서는 엄청난 연구비를 지원하고 있는 학술연구의 결과활용과 새로운 연구활동을 지원할 수 있는 지식정보 관리의 실제적인 문제와 그를 해결하기 위한 요건을 제시한다.

• 임상간호연구
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• 제19권2호
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• pp.255-264
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• 2013

Purpose: This study was done to examine the effects of assertiveness training on Intensive Care Unit (ICU) nurses' assertive behavior, job stress, communication conflict, and self-esteem toward improving their communication skills and coping. Methods: The assertiveness training program was developed to a 10-hour program consisting of 3 sessions. The goals were to understand assertive behavior and learn how to practice assertive communication in general conflict situations and/or a difficult conflict situation in the ICU. Participants were 65 nurses recruited from a tertiary teaching hospital and of these, 27 nurses completed the program. Data were collected from Jan. 30th to Mar. 28th, 2009 using a questionnaire which included demographic characteristics, assertive behaviour scale, job stress scale, communication conflict inventory-specific, and self-esteem scale. Data were analyzed using SPSS v. 14.0 for $x^2$ test and t-test. Results: ICU nurses in the experimental group had a significant increase in aspects of assertive behavior and a decrease in job stress. Conclusion: The results of the study indicate that assertiveness training is effective in increasing ICU nurses' assertive behavior and decreasing job stress through reinforcement of assertiveness behavior.

• 한국환경과학회지
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• 제14권6호
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• pp.621-627
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• 2005

It is analysised the causes and extent of damage of natural disasters through the investigating of natural disaster states occurred in Gyeongsangnam-do. The data for this study were based on disaster annual report between 1987 and 2003. Especially, the data between 1993 and 2003 were used for the analysis in Gyeongsangnam-do area. A typhoon and a heavy rain were the major causes of the natural disasters in Gyeongsangnam-do. For all that the extent of damage by a heavy rain was twice as much as that of a typhoon, Gyongsangnam-do suffered heavy damage from a typhoon. So, special attentions should be paid to establish prevention plans for that in this area. Also, half of the natural disasters were occurred between July and August, the intensive prevention plans for the summer season are needed.

• The Journal of Asian Finance, Economics and Business
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• 제8권2호
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• pp.411-417
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• 2021

This study aims to estimate the production function and total factor productivity (TFP) of Vietnamese seafood processing firms. At the same time, the study analyses the impact of internal factors of firms and the quality of economic institutions on the TFP of the Vietnamese seafood processing industry. The study uses the Function Control (FC) approach in TFP estimation and the Feasible Generalized Least Squares (FGLS) regression model in the analysis of factors affecting TFP. The study was carried out on the census data of enterprises of the Vietnamese seafood processing industry collected by the Vietnamese General Statistics Office and Provincial Competitiveness Index data of Vietnam Chamber of Commerce and Industry in the period from 2013 to 2018. Estimated results from the models show that: i) Vietnamese seafood processing firms are, currently, mainly labor-intensive, the TFP contribution and output is only about 2.258. ii) Factors such as the firm's age, firm's size, and the firm's ownership affect TFP. In which, firms that have few numbers of years of operation, small and medium firms, and private firms have low TFP. iii) Institutional quality and the provincial business environment have a positive impact on the TFP of Vietnamese seafood processing firms in this period.

• 한국초등과학교육학회지:초등과학교육
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• 제39권4호
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• pp.494-505
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• 2020

In this study, we surveyed characteristics of the science related collaborative problem solving competency of pre-service elementary teachers, especially required in the digital age. The participants in online survey were 119 pre-service elementary teachers of National University of Education located in Gangwon province. The analyzed results of survey were as follows: First, pre-service teachers performed their task responsibly in collaborative problem solving context related to science. However, they lacked competencies in making rubrics for problem solving processes or outcomes, and setting up rules about team activities. Second, in using ICT technology, the competencies of utilizing tools such as app and software lacked compared with the competencies of searching data in online and using ppt. Third, there was no statistically significant difference among groups by their intensive major in university or selective subject in high school. Nevertheless, pre-service teachers majoring in natural science showed more persistence than those majoring in humanities in problem solving context. Finally, there was no significant gender difference except 'clear communication and accomplishment'. That is, female pre-service teachers performed more responsible in their task and showed more fluency in communication and presentation within their group than male counterparts. Based on these results, implications in the field of pre-service teacher education were discussed.