• 여성건강간호학회지
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• 제27권2호
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• pp.75-92
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• 2021

Purpose: This study aimed to analyze the content and effectiveness of psychosocial support interventions for women with gestational diabetes mellitus (GDM). Methods: The following databases were searched with no limitation of the time period: Ovid-MEDLINE, Cochrane Library, Ovid-Embase, CINAHL, PsycINFO, NDSL, KoreaMed, RISS, and KISS. Two investigators independently reviewed and selected articles according to the predefined inclusion/exclusion criteria. ROB 2.0 and the RoBANS 2.0 checklist were used to evaluate study quality. Results: Based on the 14 selected studies, psychosocial support interventions were provided for the purpose of (1) informational support (including GDM and diabetes mellitus information; how to manage diet, exercise, stress, blood glucose, and weight; postpartum management; and prevention of type 2 diabetes mellitus); (2) self-management motivation (setting goals for diet and exercise management, glucose monitoring, and enhancing positive health behaviors); (3) relaxation (practicing breathing and/or meditation); and (4) emotional support (sharing opinions and support). Psychosocial supportive interventions to women with GDM lead to behavioral change, mostly in the form of self-care behavior; they also reduce depression, anxiety and stress, and have an impact on improving self-efficacy. These interventions contribute to lowering physiological parameters such as fasting plasma glucose, glycated hemoglobin, and 2-hour postprandial glucose levels. Conclusion: Psychosocial supportive interventions can indeed positively affect self-care behaviors, lifestyle changes, and physiological parameters in women with GDM. Nurses can play a pivotal role in integrative management and can streamline the care for women with GDM during pregnancy and following birth, especially through psychosocial support interventions.

• PNF and Movement
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• 제11권1호
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• pp.27-33
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• 2013

Purpose : The purpose of this research was to research on Needs for the Construction of the CSFT(Cluster with a Strongpoint for Field Training) on students and professors of health-related majors. Methods : We investigated 164 students and professors using a self-reporting method with experience of Field Training. A statistical analysis was performed using SPSS 17.0 for window version. Results : It showed that educational satisfaction had scored 4.05 in curriculum, 4.00 in environment, 3.52 in schedule, 3.71 in evaluation and 3.71 in teaching and 3.84 in industrial-college systems for Field Training. Needs for the Construction of the CSFT had scored 4.17 in $mean{\pm}standard$ deviation. Conclusion : Characterization of Nursing, Department of Health and local health care environment and conditions, if you think the quality of education for the Department of Health Nursing, gradually, the acquisition and improvement of the base hospital is necessary. Therefore, it is considered to be institutionalized by installing the strongpoint hospital at least one in each region, so that they can contribute to the improvement of people's health.

• 한국정보통신학회논문지
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• 제24권9호
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• pp.1209-1214
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• 2020

최근 고령화 시대가 되면서 사람들의 건강한 삶에 관한 관심이 높아지고 있다. 사람들은 잘못된 생활, 식습관, 신체활동 저하 등으로 인하여 성인병을 유발하거나 비만 인구수가 증가하고 있다. 이에 정보통신 분야에서 의료분야 정보를 활용하여 피부 미용 연구가 진행되고 있다. 기존의 시스템들은 다양한 관련 측정 항목들에 대해 결합하여 표현되지 않아서 원활한 정보를 제공받지 못하였다. 본 논문에서 제안하는 시스템은 3D 스캐너와 피부미용기기를 사용하여 사용자의 체형을 스캔하고, 3D 이미지 데이터를 사용하여 BMI(Body Mass Index) 지수를 계산하고 수집된 데이터를 한눈에 볼 수 있는 웹 서비스 시스템을 제공한다. 이는 지속적인 신체 변화 데이터를 비교하여 제공하므로 관리되는 내용을 사용자에게 제공하게 될 것이다. 이는 다양한 U-헬스 및 미용분야에서 널리 활용될 것으로 사료된다.

• 한국보건간호학회지
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• 제34권3호
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• pp.444-456
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• 2020

Purpose: This study aimed to understand a change in the awareness of nursing college students on the unification of the Korean peninsula and health care systems after providing unification and nursing education. Methods: After taking all sessions of the classes, seven participations responded in a semi-conducted focus group interview. The data were analyzed by qualitative content analysis. Results: Three themes and eight categories were deduced. Curiosity and expansion on an unfamiliar subject, and expansion of personal experience related to North Korea/Koreans were identified in the theme of challenges to the 'unification and nursing' subject. Confusion due to inconsistency with existing information, the realization of undiscerning attitude/judgement toward North Korea, and empathy and changing views of North Koreans were identified in the theme of expansion of the awareness for North Korea/Koreans. The beginning of a specific concern, the repetition of history, and North Korea still far away were identified in the theme of divided views of the imperativeness of unification. Conclusion: Through the findings of this study, we could examine how students in this study had deepen their understandings in terms of North Koreans beyond their personal experiences by taking the course of 『unification and nursing』.

• 한국의료질향상학회지
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• 제27권2호
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• pp.2-17
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• 2021

Purpose: The purpose of this study is to seek in-depth perspectives of stakeholders on the necessity and specific criteria for designating a specialized hospital for urologic diseases. Methods: Eight participants experts in urology medicine and specialized hospital system were divided into four groups. Following the semi-structured guidelines, an in-depth interview was conducted twice and a focus group discussion was conducted three times. All the interviews were transcribed verbatim and analyzed. Results: The majority of participants predicted that there would be demand for specialized hospitals for urologic diseases. The criteria of designating a specialized hospital, such as the number of hospital beds and quality of health care, have to be modified in consideration of the specificity of urology. The introduction of a specialized hospital would improve the healthcare delivery system, positively affecting hospitals and patients. Furthermore, government support is essential for the maintenance of specialized hospital systems as urology hospitals experience difficulties in generating profits. Conclusion: This study is expected to be used as base data for introducing and operating a specialized hospital for urologic diseases. In addition, it is expected that the methodology and results of this study would encourage follow-up studies on specialized hospitals and provide guidelines to evaluate the effectiveness of such hospitals in other medical fields.

• Journal of Trauma and Injury
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• 제34권4호
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• pp.225-232
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• 2021

Purpose: Trauma is the top cause of death in people under 45 years of age. Deaths from severe trauma can have a negative economic impact due to the loss of people belonging to socio-economically active age groups. Therefore, efforts to reduce the mortality rate of trauma patients are essential. The purpose of this study was to investigate preventable mortality in trauma patients and to identify factors and healthcare-related challenges affecting mortality. Ultimately, these findings will help to improve the quality of trauma care. Methods: We analyzed the deaths of 411 severe trauma patients who presented to Gachon University Gil Hospital regional trauma center in South Korea from January 2015 to December 2017, using an expert panel review. Results: The preventable death rate of trauma patients treated at the Gachon University Gil Hospital regional trauma center was 8.0%. Of these, definitely preventable deaths comprised 0.5% and potentially preventable deaths 7.5%. The leading cause of death in trauma patients was traumatic brain injury. Treatment errors most commonly occurred in the intensive care unit (ICU). The most frequent management error was delayed treatment of bleeding. Conclusions: Most errors in the treatment of trauma patients occurred in early stages of the treatment process and in the ICU. By identifying the main causes of preventable death and errors during the course of treatment, our research will help to reduce the preventable death rate. Appropriate trauma care systems and ongoing education are also needed to reduce preventable deaths from trauma.

• 보건행정학회지
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• 제32권2호
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• pp.173-179
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• 2022

Background: This study aimed to identify patterns of elderly patients who transferred from long-term care hospitals to emergency rooms and provide the evidence of emergency medical systems to prepare for a super-aged society. Methods: The data source was the National Emergency Department Information System database from January 2014 to December 2019 in Korea. We performed a cross-sectional study among elderly patients (≥65 years) who transferred from a long-term care hospital to an emergency room. Trend analysis was conducted by year. Results: We identified 225,765 elderly patients who were transferred from long-term care hospitals to emergency rooms between January 1, 2014 and December 31, 2019. The proportion of the study population and their mean age were recently increased (p<0.001, respectively). The proportion of elderly patients being re-transferred (p=0.049) and the patients re-transferred to long-term care hospitals is significantly increased (p=0.005). Conclusion: The establishment of efficient emergency medical services for an aging society is important. It is necessary to develop a healthcare network with the government, long-term care hospitals, and medical institutions in the community suitable for preventing disease deterioration.

• 인터넷정보학회논문지
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• 제23권3호
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• pp.97-110
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• 2022

연합학습은 학습데이터의 전송없이 모델의 학습을 수행할 수 있는 학습방법이다. IoT 혹은 헬스케어 분야는 사용자의 개인정보를 다루는 만큼 정보유출에 민감하여 시스템 디자인에 많은 주의를 기울여야 하지만 연합학습을 사용하는 경우 데이터가 수집되는 디바이스에서 데이터가 이동하지 않기 때문에 개인정보 유출에 자유로운 학습방법으로 각광받고 있다. 이에 따라 많은 연합학습 구현체가 개발되었으나 연합학습을 사용하는 시스템의 개발과 운영을 위한 시스템 설계에 관한 구체적인 연구가 부족하다. 본 연구에서는 연합학습을 실제 프로젝트에 적용하여 IoT 디바이스에 배포하고자 할 때 연합학습의 수명주기, 코드 버전 관리, model serving, 디바이스 모니터링에 대한 대책이 필요함을 보이고 이러한 점을 보완해주는 개발환경에 대한 설계를 제안하고자 한다. 본 논문에서 제안하는 시스템은 중단 없는 model-serving을 고려하였고 소스코드 및 모델 버전 관리와 디바이스 상태 모니터링, 서버-클라이언트 학습 스케쥴 관리기능을 포함한다.

• 대한안전경영과학회지
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• 제23권4호
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• pp.31-42
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• 2021

Recently, virtual reality (VR) and augmented reality (AR) technologies are attracting attention as core technologies in the era of the 4th industrial revolution. These virtual and augmented reality technologies are being used in a variety of industries, including the construction industry, healthcare industry, and manufacturing industry, to innovate in communication and collaboration, education and simulation, customer service and reinvention of the customer experience. In this paper, VR-based experiential safety education was conducted for workers of shipbuilding companies in Ulsan city, and for them, the educational effectiveness such as immersion, site applicability, safety accident prevention, education satisfaction, overall performance, and safety behavior in VR-based safety experience education were measured. In addition, we examined whether the immersion of VR-based safety experience education affects site applicability, safety accident prevention, educational satisfaction, overall performance, and safety behavior. Furthermore, it was analyzed whether site applicability plays a mediating role in the relationship between immersion and safety accident prevention. As a result, it was found that the immersion of VR-based safety experience education affects site applicability, safety accident prevention effect, education satisfaction, overall performance, and safety behavior, and that site applicability mediates between immersion and safety accident prevention. Based on these results, we suggests a direction for the development of VR-based contents in the field of safety and health and the transformation of safety and health education in the future.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권2호
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• pp.742-756
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• 2022

A flood of information has occurred with the rise of the internet and digital devices in the fourth industrial revolution era. Every millisecond, massive amounts of structured and unstructured data are generated; smartphones, wearable devices, sensors, and self-driving cars are just a few examples of devices that currently generate massive amounts of data in our daily. Machine learning has been considered an approach to support and recognize patterns in data in many areas to provide a convenient way to other sectors, including the healthcare sector, government sector, banks, military sector, and more. However, the conventional machine learning model requires the data owner to upload their information to train the model in one central location to perform the model training. This classical model has caused data owners to worry about the risks of transferring private information because traditional machine learning is required to push their data to the cloud to process the model training. Furthermore, the training of machine learning and deep learning models requires massive computing resources. Thus, many researchers have jumped to a new model known as "Federated Learning". Federated learning is emerging to train Artificial Intelligence models over distributed clients, and it provides secure privacy information to the data owner. Hence, this paper implements Federated Averaging with a Deep Neural Network to classify the handwriting image and protect the sensitive data. Moreover, we compare the centralized machine learning model with federated averaging. The result shows the centralized machine learning model outperforms federated learning in terms of accuracy, but this classical model produces another risk, like privacy concern, due to the data being stored in the data center. The MNIST dataset was used in this experiment.