• 대한한의정보학회지
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• 제11권2호
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• pp.49-56
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• 2005

Objectives To evaluate the treatment effect of Bee-venom Acupuncture on Neck Pain by Traffic Accidents, which is well known for anti-inflammatory effect and function of activating immune system. Methods We investigated 33 cases of patients with Neck Pain by Traffic Accidents by soft tissue injury. One group was treated by Bee-venom Acupuncture therapy, the other group was treated by General Acupuncture therapy . We evaluated the treatment effect of each group by Treatment Days & Number of Times, Distribution of Clinical evaluation grade, Visual Analog Scale before and after Treatment.

• Genomics & Informatics
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• 제2권3호
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• pp.113-120
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• 2004

• 대한한의학회지
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• 제33권4호
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• pp.60-68
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• 2012

Objectives: By grasping trends in research, technology, and general characteristics of learning support tools, this study was conducted to present a model for research on Korean Medicine (KM) to make use of information technology to support teaching and learning. The purpose is to improve the future clinical competence of medical personnel, which is directly linked to national health. Methods: With papers and patents published up to 2011 as the objects, 438 papers were extracted from "Web of Science" and 313 patents were extracted from the WIPS database (DB). Descriptive analysis and network analysis were conducted on the annual developments, academic journals, and research fields of the papers, patents searched were subjected to quantitative analysis per application year, nation, and technology, and an activity index (AI) was calculated. Results: First, research on medical learning support tools has continued to increase and is active in the fields of computer engineering, education research, and surgery. Second, the largest number of patent applications on medical learning support tools were made in the United States, South Korea, and Japan in this order, and the securement of remediation technology-centered patents, rather than basic/essential patents, seemed possible. Third, when the results of the analysis of research trends were comprehensively analyzed, international research on e-PBL- and medical simulation-centered medical learning support tools was seen to expand continuously to improve the clinical competence of medical personnel, which is directly linked to national health. Conclusions: The KM learning support tool model proposed in the present study is expected to be applicable to computer-based tests at KM schools and to be able to replace certain functions of national KM doctor license examinations once its problem DB, e-PBL, and TKM simulator have been constructed. This learning support tool will undergo a standardization process in the future.

• 대한한의진단학회지
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• 제11권1호
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• pp.61-71
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• 2007

Background: Bojungikgitang is one of the most common herbs in oriental medicine. Principally, this medicine heals illness from overwork and stress. Therefore, it is frequently used in the ancient community. Because of insufficiency in data, objective judgements are difficult in remedial effects by Bojungikgitang. In order to make objectivity diagnose data, this research is developed. Purpose: The aim of the research is to make questionnaire for the medicine and the objective is to sell to the public from the local clinic. Methods: The questionnaire which includes symptoms and signs for diagnose of Bojungikgitang is studied by the Delphi method and average value. Results: By the Delphi method and average value, 25 Items of questionnaires are choosen for the research. Conclusions: Further research is necessary for modification of questionnaire by statistics and certification by clinical trial. The statistics and verification by clinical trial is necessary with modification for further research.

• 대한한의진단학회지
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• 제9권2호
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• pp.110-122
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• 2005

Background: The basic concept of thermographic interpretation is the thermologic equality of both side in normal person. But both sides diseases were limited diagnostic values by thermographic interpretation, and this interpretation does not apply to the case in thermal temperature of each part of body. Nevertheless, the measurement conditions are not standardized. So, for its clinical applications are extended, we think that the measurement conditions are considered the individual variations. Objectives: The purpose of this study is to examine the optimum conditions thermal temperature of the time period and region are not effected by internal and external variables. Methods: After the subjects took off their clothes, the filming were repeatedly five times made on duration of 5minutes during 20minutes. We selected nine regions around acupoints including Yin dang[印堂, HN1], Sugu[水溝, GV26], Ch’ondol[天突, CV22], Chonjung[CV17], Chung-wan[中脘, CV12], Ch’onch'u[天樞 S25], No-gung[勞宮, P8], and calculated based on the utility of R.O.I.(Region of Integer) in our system these points temperature. We measured the optimal time period and region that has little variation of thermal temperature. Results: The results shows that the optimal time period is 20minutes after undressed, and the optimal region is the region around acupoints including Sugu[水溝, GV26]. Conclusions: we obtained the measurement conditions were considered the individual variations. And also, this study offers basic sources for that the measurement conditions would be standardized. Furthermore, based on this results, we expect that clinical applications using thermography would be extended.

• 대한간호학회지
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• 제53권2호
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• pp.236-248
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• 2023

Purpose: Nursing informatics competency is used to manage and improve the delivery of safe, high-quality, and efficient healthcare services in accordance with best practices and professional and regulatory standards. This study examined the relationship between nursing informatics competency (NIC), nursing care left undone, and nurse reported quality of care (NQoC) and nursing productivity. A path model for their effects on nursing productivity among clinical nurses was also established. Methods: Data were collected using structured questionnaires answered by 192 nurses working in a tertiary hospital located in J city, Korea, and analyzed using SPSS/WIN 23.0 and AMOS 21.0 program. Results: The fit indices of the alternative path model satisfied recommended levels χ² = .11 (p = .741), normed χ² (χ² /df) = .11, SRMR = .01, RMSEA = .00, GFI = 1.00, NFI = 1.00, AIC = 18.11. Among the variables, NIC (β = .44, p < .001), NQoC (β = .35, p < .001) had a direct effect on nursing productivity. Due to the mediating effect of NQoC on the relationship between NIC and nursing productivity, the effect size was .14 (95% CI .08~.24). Meanwhile, nursing care left undone through NQoC in the relationship between NIC and nursing productivity, has a significant mediation effect (estimate .01, 95% CI .00~.03). The explanatory power of variables was 44.0%. Conclusion: Education and training for enhancing NIC should be provided to improve nursing productivity, quality of care and to reduce missed nursing care. Furthermore, monitoring the quality of nursing care and using it as a productivity index is essential.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권4호
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• pp.826-842
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• 2024

As 5G and AI continue to develop, there has been a significant surge in the healthcare industry. The COVID-19 pandemic has posed immense challenges to the global health system. This study proposes an FL-supported edge computing model based on federated learning (FL) for predicting clinical outcomes of COVID-19 patients during hospitalization. The model aims to address the challenges posed by the pandemic, such as the need for sophisticated predictive models, privacy concerns, and the non-IID nature of COVID-19 data. The model utilizes the FATE framework, known for its privacy-preserving technologies, to enhance predictive precision while ensuring data privacy and effectively managing data heterogeneity. The model's ability to generalize across diverse datasets and its adaptability in real-world clinical settings are highlighted by the use of SHAP values, which streamline the training process by identifying influential features, thus reducing computational overhead without compromising predictive precision. The study demonstrates that the proposed model achieves comparable precision to specific machine learning models when dataset sizes are identical and surpasses traditional models when larger training data volumes are employed. The model's performance is further improved when trained on datasets from diverse nodes, leading to superior generalization and overall performance, especially in scenarios with insufficient node features. The integration of FL with edge computing contributes significantly to the reliable prediction of COVID-19 patient outcomes with greater privacy. The research contributes to healthcare technology by providing a practical solution for early intervention and personalized treatment plans, leading to improved patient outcomes and efficient resource allocation during public health crises.

• 한국멀티미디어학회논문지
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• 제19권7호
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• pp.1197-1207
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• 2016

The purpose of this study was to develop an evidence-based Nursing Process System on Nursing Diagnosis, Nursing Outcomes, and Nursing Interventions Classification targeting nurse students. We use standard classification-focused research data on the basis of Nursing Diagnosis Classification established by NANDA (North American Nursing Diagnosis Association), NOC (Nursing Outcomes Classification) and NIC (Nursing Interventions Classification) mainly developed by Iowa Sate University. The existing research methods are difficult to be applied the consistent nursing process, since such methods need to repeatedly enter the same nursing process without systematic guidelines. But, this study was coded data of standardized nursing process in accordance with the 10 clinical condition in order to implement the nursing process macro, and developed a system that reflects the needs of nursing educators. Therefore, nurse students can improve clinical decision-making ability, and naturally learn the nursing process through a system developed.

• 대한한의진단학회지
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• 제11권2호
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• pp.45-58
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• 2007

Background and purpose: We previously developed questionnaire of Bojungikgitang systom on the Delphi method through the pathogenesis analysis. But developed a questionnaire was not verified in the clinical. So, to ensure objectivity, quantification and validity, verification is needed for questionnaire items before applying a clinical. On this study, we looked at whether questionnaire items had been validity in the clinical. Methods: Surveys conducted about 191 patients at 12 oriental medicine hospitals. Among them, patients with Bojungikgitang systom(group I) were 95, and patients with no Bojungikgitang systom(group II) were 96. We calculated that the sum of each item in the survey and then the sum was reviewed statistically significant difference through Independent samples T test between group I and II. Results: Between group I and II, the total sum survey of the percent difference is meaningful (P<0.05). Conclusions: Reliability analysis of the Bojungikgitang systom survey research is needed in the future. Also I think that research should proceed about a lot of people.

• 대한한의진단학회지
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• 제12권2호
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• pp.27-40
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• 2008

Background : In spite of the predominant of the theory of Pathogenesis, the method of Pathogenesis classification is depending on the doctor's clinical trials because od the lack of the objective test criteria. Methods and Results : This study is trying to improve the objectiveness of classification using a new statistical method, decision tree. Decision tree method -a classification technique in the statistical analysis- was used to analyze the result of pathogenesis questionnaire instead of using discriminant analysis. As a result, 10 among 38 pathogenesis questionnaire was selected as important questions and 12 terminal nodes was built to classify the pathogenesis. Conclusions : Using only 10 questions shown in the result of decision tree, we can classify and interpret the pathogenesis easily and effectively.