• The Korean Journal of Health Service Management
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• v.12 no.1
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• pp.149-160
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• 2018

Objectives : The purpose of this study was to examine the mediating effect of professional self-concept on the relationship between professor-student interaction and job-seeking anxiety among nursing students. Methods : A cross-sectional survey was conducted using a convenient sampling method with data collected from a sample of 294 nursing students. The structured questionnaire included items to assess job-seeking anxiety, professional self-concept, and professor-student interaction among nursing students. The data were analyzed with descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, and multiple regression using the SPSS 24.0 program. Mediation analysis was performed according to the Sobel test. Results : Analysis of the mediating effect of professional self-concept showed a significant mediating influence of professional self-concept on the relationship between professor-student interaction and job-seeking anxiety. Conclusion : The findings suggest that professional self-concept may play a role in increasing the effect of professor-student interaction on job-seeking anxiety. Therefore, this study underscores the need to consider ways of enhancing professional self-concept during interventions for nursing students.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.44 no.4 s.316
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• pp.74-78
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• 2007

Novel concept of sensor mat and its signal processing method is proposed for patient monitoring in medical application. Proposed sensor mat structure has sensing inner layer which has cross-linked arrangement using plastic optical fiber(POF). Large core diameter of plastic optical fiber behaved as band pass filter by averaging the noise component caused by unwanted environmental factors. Signal processor followed by sensor output added noise immune performance by filtering out unwanted component. Fail-proof patient breath monitoring scheme was realized by using intelligent decision algorithm. Unlike the conventional approach by using mechanical sensor, which have high sensitivity both to signal and to environmental noise, our approach provided reliable breath motion detection.

• The Korean Journal of Health Service Management
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• v.12 no.4
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• pp.17-30
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• 2018

Objectives: This study aimed to examine the effects of compassion competence, professional self-concept and nursing practice environment on caring behaviors of clinical nurses. Methods: A convenience sample of 200 nurses was drawn from a tertiary hospital in G city. Structured self-report questionnaires were used to collect data, which were analyzed with descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, and stepwise multiple regression. Results: A significant difference in caring behaviors of nurses was found for age, educational level, and unit. There were statistically significant positive correlations between study variables. Sensitivity and communication of compassion competence, communication of professional self-concept, and nursing foundations for quality of care in nursing practice environment were significant predictors of caring behaviors, explaining 51.3% of total variance. Conclusions: To improve clinical nurses' caring behaviors, strategies must be developed and implemented for enhancing their compassion competence, professional self-concept, and nursing practice environment.

• The Korean Society of Law and Medicine
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• v.21 no.3
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• pp.145-178
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• 2020

This paper examines discussions surrounding cognitive liberty, neuro-privacy, and mental integrity from the perspective of Neuro-rights. The right to control one's neurological data entails self-determination of collection and usage of one's data, and the right to object to any way such data may be employed to negatively impact oneself. As innovations in neurotechnologies bear benefits and downsides, a novel concept of the neuro-rights has been suggested to protect individual liberty and rights. In Oct. 2020, the Chilean Senate presented the 'Proyecto de ley sobre neuroderechos' to promote the recognition and protection of neuro-rights. This new bill defines all data obtained from the brain as neuronal data and outlaws the commerce of this data. Neurotechnology, especially when paired with big data and artificial intelligence, has the potential to turn one's neurological state into data. The possibility of inferring one's intent, preferences, personality, memory, emotions, and so on, poses harm to individual liberty and rights. However, the collection and use of neural data may outpace legislative innovation in the near future. Legal protection of neural data and the rights of its subject must be established in a comprehensive way, to adapt to the evolving data economy and technical environment.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.3
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• pp.520-534
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• 2018

This study was conducted to understand the conceptual definition and characteristics of health inequality. To accomplish this, we analyzed data collected from 14 participants as well as from available literature regarding health inequality using the hybrid model introduced by Schwartz-Barcott and Kim. We categorized health inequality into nine attributes in three dimensions. These dimensions included "target", "precede", and "result," corresponding to the target, cause and consequence of health inequality, respectively. Specifically, we define health inequality as individuals, families, communities, socio-economic, or geographically distinct demographic groups that are treated unfairly and result in several problems such as loss of quality of life, reduction of survival rate, or aggravation of a disease due to (i) poor treatment by a hospital (ii) irregular meals, (iii) desperate need for work (for money), (iv) expensive medical care costs, (v) qualitative differences in medical care by regional groups (vi) the lack of knowledge regarding disease (vii) and inadequate health care because of lack of time. As a result of this unfair treatment, human rights violation occurs. The major contribution from this paper is that we provide a guideline for establishing strategies to reduce health inequality by identifying the concept of health inequality. Based on this study, we recommend development of an educational program to reduce health inequalities.

• Journal of the Korean Society of Radiology
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• v.17 no.1
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• pp.131-139
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• 2023

In this study, we are purposed to find the educational effect of practical training using a 3D printed structure-based blind box on multidimensional radiographic image interpretation. The subjects were 83 (male: 49, female: 34) 2nd year radiological science students who participated in the digital medical imaging practice that was conducted for 3 years from 2020 to 2022. The learning method used 3D printing technology to print out the inside structure of the blind box designed by itself. After taking X-rays 3 times (x, y, z axis), the structure images in the blind box were analyzed for each small group. We made the 3D structure that was self-made with clay based on our 2D radiographic images. After taking X-rays of the 3D structure, it was compared whether it matches the structural image of the blind box. The educational effect for the practical training surveyed class faithfulness, radiographic image interpretation ability (attenuation concept, contrast concept, windowing concept, 3-dimensional reading ability), class satisfaction (interest, external recommendation, immersion) on a 5-point Likert scale as an anonymous student self-writing method. As a result, all evaluation items had high positive effects without significant differences between males and females. Practical education using blind boxes is a meaningful example of radiology education technology using 3D printing technology, and it is expected to be used as content to improve students' problem-solving skills and increase satisfaction with major subjects.

• Journal of Korean Academy of Nursing Administration
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• v.23 no.2
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• pp.118-126
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• 2017

Purpose: This study was done to identify the relationships of perception of JCI (Joint Commission International) hospital accreditation, nursing performance, self-concept and retention intention in nurses. Methods: Self-administered questionnaires were used to collect data from 199 JCI-accredited nurses in general hospitals located in Gyeonggi Province. Data collection was done in May 2015 and analyzed using t-test, ANOVA, $Scheff{\acute{e}}^{\prime}s$ test, and Pearson correlation coefficients. Results: The scores for perception, and nursing performance were (on a five-point Likert scale) 3.34, 3.78 respectively, and self-concept and retention intention were (on a eight-point Likert scale) 5.40 and 5.21 respectively. Nurses' perception, nursing performance, self-concept, and retention intention showed significant differences depending on age, marital status, education, department, work experience, position, Korean accreditation, and JCI accreditation. A positive correlation was observed between perception, nursing performance, self-concept, and retention intention. Conclusion: The results of this study indicate that enhancing positive perception and good nursing performance can produce good self-concept and retention intention.

• Journal of muscle and joint health
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• v.28 no.3
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• pp.252-262
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• 2021

Purpose: To define the concept of digital health literacy and identify its attributes. Methods: Walker and Avant's approach was employed for concept analysis. Attributes, antecedents, consequences, and the definition of digital health literacy were derived from a review of 28 studies. Results: Digital health literacy was identified to possess the following five attributes: health information seeking, health information processing, health information communication, health-related knowledge translation, and utilizing digital technology. Basic literacy skills, health concerns, motivation to use technology for health information, and access to digital technologies were all antecedents of the concept. The consequences of the concept were health behaviors, patient engagement, health status, and quality of life. Digital health literacy is the ability to seek relevant health information utilizing digital technology to solve health problems and improve quality of life. Furthermore, it refers to the translation of health-related knowledge obtained through health information processing-finding, understanding, and evaluating health information and health information communication-into the context in which individual and social factors interact. Conclusion: This study presented a new definition of digital health literacy that goes beyond existing internet-based eHealth literacy, by incorporating the context of emerging digital technologies. This proposed definition can serve as a foundation for the development of instruments and educational programs to improve individuals' digital health literacy.

• Journal of Industrial Convergence
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• v.19 no.3
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• pp.75-82
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• 2021

This study was conducted to analyse interprofessional education(IPE)-related research within Korean nursing literature and suggest future directions for IPE research. For this, Five articles were included for final review. As a results, IPE in nursing research has received attention since 2017. Studies have confirmed that no clear definition of IPE concepts has been established in nursing education. Key findings regarding IPE were categorized into Awareness of IPE, Effects of IPE as an intervention and Validation of Korean version tools measuring effectiveness of IPE. The collaboration of nurses and other healthcare professionals is essential to providing quality healthcare. Therefore, considerable effort should be made to define the concept of IPE and activate research to effectively apply it to nursing education and practice in Korea.

• The Journal of Korean Academic Society of Nursing Education
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• v.29 no.4
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• pp.371-380
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• 2023

Purpose: The purpose of this study is to determine the relationship between nursing students' biomedical and artificial intelligence (AI) ethical awareness, ethical values, professional self-concept, and ethical decision-making confidence, and to then identify factors that can influence their ethical decision-making confidence. Methods: This study employed a descriptive research method and was conducted from June 8 to 12, 2023, with 204 students from three nursing colleges in Korea. The collected data were analyzed by frequency and percentage, independent t-test, Pearson's correlation coefficient, and multiple regression using IBM SPSS 23.0. Results: The results of the multiple regression analysis showed that the regression model was significant (F=18.88, p<.001) and that professional self-concept (β=.46, p<.001), ethics education (β=.23, p<.001), AI ethical awareness (β=.16, p=.020), and relativistic ethical values (β=.14, p=.035) explained 34.6% of the nursing students' ethical decision-making confidence. Conclusion: It is necessary to include professional self-concept, AI ethical awareness, and ethical values contents when constructing the curriculums of educational programs in order to improve nursing students' ethical decision-making confidence.