In this study, a survey was conducted and analyzed to provide basic data on hospital infection control measures and education by identifying awareness and practice of hospital infection control among workers at general hospitals in Busan. As a result of conducting a t-test and one-way ANOVA to see the difference in general variables, the awareness and practice of personal hygiene management were generally low, and the awareness and practice of equipment hygiene management were high. In all areas except for men's personal hygiene management, the level of awareness was higher than the level of practice, confirming that the level of practice was insufficient compared to the level of awareness of infection control. As a result of Pearson's correlation analysis, people with high awareness of infection control showed a high level of practice, so it was thought that raising the awareness of infection control among hospital workers would be effective in preventing hospital infection. Therefore, it is considered that it is necessary to raise the awareness of infection control among workers through continuous education on hospital infection control, and to make efforts of hospital workers to practice it.
Wrist PA-grip view is used to diagnose triangular fibrocartilage complex (TFCC) tear because it can easily diagnose damage to the surrounding wrist ligaments. However, despite advances in radiology equipment, distortion of images due to geometric elements still has many limitations. In this paper, we propose a method that can minimize the distortions of images by analyzing the distortions occurring in the wrist PA-grip view. A source of image distance (SID) were set at 130 cm and 150 cm for comparison with 110 cm. Depending on the SID, the phantom of wrist was moved at 0, 2, 4, 6, 8, and 10 cm in the X-axis and Y-axis directions, respectively. For quantitative evaluation, the difference of distance between the radius and ulna was measured in picture archiving and communication system (PACS) system. As a qualitative evaluation, survey was conducted among 20 radiologic technologists who examined the Wrist PA-grip view. The Kruskal Wallis test was performed to compare the distortion according to the phantom movement in the X-axis and Y-axis directions based on the SID, and the Tukey test was performed as a post-test. In the quantitative evaluation results, the measured values obtained in the X-axis was not significantly different in all groups (p>0.05). The measured values obtained in the Y-axis was significantly different in the most groups (p<0.05). Therefore, to reduce distortion while maintaining image quality, we recommend what examine the SID at 150 cm than 110 cm.
Journal of Korea Entertainment Industry Association
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v.14
no.7
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pp.477-485
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2020
This study is a random allocation similar experimental study to compare and analyze the difference in BVM (Bag-Valve-Mask) ventilation volume according to the characteristics of the rescuer's hand and the type of mask using a standardized mannequin. To this end, the Basic Life Resuscitation Education Center of D University in gwangju. Recruiting 39 students who have completed the basic resuscitation course for emergency medical personnel and the Korean-style specialized cardiac rescue course, In addition to measuring the physical characteristics of the hand, the average amount of ventilation per minute using a bag-mask was measured and analyzed. As a result, the type of mask that was not most affected by the characteristics of the hand and provided adequate Minute Ventilation was the soft type (tube, silicone) mask. On the other hard (tube, silicone) masks were found to be unsuitable for general use as they were greatly affected by the characteristics of workers' hands. COVID-19 is currently increasing the risk of transmission to paramedics and patients. Considering this situation, the universal use of a semi-permanent hard-type mask, which is disadvantageous not only for preventing infection but also for proper ventilation, should be avoided. In addition to the ease of use, it should be actively utilized in the field by supplying a soft type mask that can provide stable ventilation even with 'predominance recognition' and proper ventilation.
Recently, the penetration rate of Magnetic Resonance Imaging (MRI) is higher than the average among OECD member countries, and the number of MRI scans is increasing. However, MRI scans take longer than other medical devices, and patient movement must be minimized. Therefore, patient discomfort always follows. When the examination is performed in the discomfort of the patient, it is difficult to perform an accurate examination, and it is difficult to obtain an image of diagnostic value. So, in the past, the patient was asked to read the written guide for the risk and cooperation of MRI, but it was composed of technical terms and difficult-to-understand sentences, so it was difficult to understand. The purpose of this study is to supplement these problems and increase the understanding of MRI scans to help acquire images of diagnostic value. In addition, it is intended to evaluate the excellence of leaflet education by evaluating the understanding and satisfaction of patients. As shown in the results of this study, understanding and satisfaction scores were higher after education than before leaflet education, and it was found that there was a difference in understanding according to academic background. However, there was no difference in the number of MRI scans. That is, there was no difference in the number of inspections due to leaflet education. In the future, leaflet education will be widely used for MRI examination, and it is necessary to study the qualitative evaluation of images after leaflet education in the future.
The purpose of this study was to investigate the status of infection control of angiography room workers through a survey, and to find out their awareness and performance. A survey was conducted from January 3 to February 28, 2022 on 126 workers working in angiography room of 10 hospitals at or above general hospital level located in Busan City. The questionnaire consists of 10 general characteristics of the subject and 56 items in total, divided into 4 main items of infection control in an angiography room: infection control system in a medical institution, personal hygiene, angiography room environment, and angiography room equipment. was measured on a Likert 5-point scale. Data analysis was performed statistically using SPSS for WindowTM release 25.0. t-test and one-way ANOVA were used to analyze the awareness and performance of each domain according to general characteristics, and Pearson correlation analysis was performed for the relationship between variables. As a result, the awareness level was higher than the performance level in all areas, indicating that the performance level was lower than the awareness level. In addition, awareness and performance showed a positive correlation, suggesting that the degree of awareness of workers is an important variable in infection control that has a significant effect on performance. Therefore, for effective and systematic infection control, workers in angiography room must improve the performance of infection control. In order to do that, infection control education is needed, and it is judged that infection control guidelines for angiography room should be systematized in the future.
Journal of the Korea Society of Computer and Information
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v.27
no.9
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pp.1-12
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2022
Traditional methods of measuring corneal ulcers were difficult to present objective basis for diagnosis because of the subjective judgment of the medical staff through photographs taken with special equipment. In this paper, we propose a method to detect the ulcer area on a pixel basis in corneal ulcer images using a semantic segmentation model. In order to solve this problem, we performed the experiment to detect the ulcer area based on the DeepLab model which has the highest performance in semantic segmentation model. For the experiment, the training and test data were selected and the backbone network of DeepLab model which set as Xception and ResNet, respectively were evaluated and compared the performances. We used Dice similarity coefficient and IoU value as an indicator to evaluate the performances. Experimental results show that when 'crop & resized' images are added to the dataset, it segment the ulcer area with an average accuracy about 93% of Dice similarity coefficient on the DeepLab model with ResNet101 as the backbone network. This study shows that the semantic segmentation model used for object detection also has an ability to make significant results when classifying objects with irregular shapes such as corneal ulcers. Ultimately, we will perform the extension of datasets and experiment with adaptive learning methods through future studies so that they can be implemented in real medical diagnosis environment.
Journal of the Korea Society of Computer and Information
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v.27
no.12
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pp.29-40
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2022
In this paper, we studied a system that detects and analyzes the pathological features of diabetic retinopathy using Mask R-CNN and a Random Forest classifier. Those are one of the deep learning techniques and automatically diagnoses diabetic retinopathy. Diabetic retinopathy can be diagnosed through fundus images taken with special equipment. Brightness, color tone, and contrast may vary depending on the device. Research and development of an automatic diagnosis system using artificial intelligence to help ophthalmologists make medical judgments possible. This system detects pathological features such as microvascular perfusion and retinal hemorrhage using the Mask R-CNN technique. It also diagnoses normal and abnormal conditions of the eye by using a Random Forest classifier after pre-processing. In order to improve the detection performance of the Mask R-CNN algorithm, image augmentation was performed and learning procedure was conducted. Dice similarity coefficients and mean accuracy were used as evaluation indicators to measure detection accuracy. The Faster R-CNN method was used as a control group, and the detection performance of the Mask R-CNN method through this study showed an average of 90% accuracy through Dice coefficients. In the case of mean accuracy it showed 91% accuracy. When diabetic retinopathy was diagnosed by learning a Random Forest classifier based on the detected pathological symptoms, the accuracy was 99%.
The purpose of this investigation is to analyze the effect of employment and quality of employment of senior job training. The questionnaire administered to 576 senior job trainees(over 50 years old) and 28 training institute before and after job training to survey job training characteristics, training institute characteristics and trainee characteristics. The results were as follows : First, independence test(X2) revealed that occupational category, period of training, type of institution, training history, location, and trainee's education level had significant difference on employment. Second, The probability of employment was higher in new and well-equipped public institution than private or old public institution. Third, compared with the prior wage, the wage after training decreased. This result suggested that the unemployed senior can hardly be reemployed in prior level job. The result of analysis on the cases of increased wage after training revealed that the trainees who was women, had a little dependent family, a shorter unemployed period, and a higher prior wage showed higher wage than prior wage after training.
The Journal of the Convergence on Culture Technology
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v.9
no.5
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pp.941-949
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2023
In this paper, the purpose of this qualitative research was to explore the communication experiences of nursing students during their clinical practice in the context of the COVID-19 pandemic among 4th grade nursing students. Data collection involved collecting reflective journals from 87 4th grade nursing college students who participated in clinical practice from December 19, 2022, to February 10, 2023. Participants were asked to freely write about their experiences following their clinical practice. The reflective journals were analyzed using Thematic Analysis by Braun & Clarke. In the context of the COVID-19 pandemic, the research findings have yielded 142 meaningful statements, 30 provisional themes, 9 sub-themes, and 4 central themes regarding the communication experiences of nursing college students during their clinical practice. The four central themes identified are as follows: "A mask that became a language barrier", "Broken Communication", "Fear that the quality of nursing care will decline", "Body and mind overcoming difficulties." In conclusion, this study has facilitated an understanding of the communication experiences of nursing college students during clinical practice in the context of the COVID-19 pandemic. Additionally, this research can serve as foundational information for improving ineffective communication due to the use of various medical equipment required in infectious disease situations and for developing practical strategies in nursing education under infectious disease conditions.
In this study, two general X-ray device, CT, and MRI inspection devices were selected from general hospitals in the Daejeon area and an experiment was conducted to predict the level of infection by measuring the surface contamination of the inspection devices at different times and to use it as basic data for infection prevention. As a result, the surface contamination level by time zone for general X-ray devices and MRI examination devices was in the order of 13H > 8H > 16H, and for CT examination devices, it was 13H > 16H > 8H, which appeared to be influenced by the number of tests. In addition, the surface contamination results for each part of the test device showed that the highest ATP contamination value was found on the stand bucky handle for the general X-ray device, the headrest for the CT examination device, and the operation switch for the MRI examination device, which was closely related to the number of contacts. As a result of comparing before and after disinfection, all devices showed a significant decrease after disinfection. Based on the results of the experiment, it is believed that it can be used as basic data to identify the level of contamination in radiology laboratories and prevent infectious diseases.
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