• 제목/요약/키워드: Pilot training

검색결과 378건 처리시간 0.029초

신규간호사의 현실충격과 교육전담간호사의 사회적 지지가 신규간호사의 조직사회화에 미치는 영향 (The Influence of Reality Shock and Educational Specialist Nurse's Social Support on Organizational Socialization of New Nurses)

  • 송은정;김미선;이주희;전미양
    • 임상간호연구
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    • 제26권3호
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    • pp.344-351
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    • 2020
  • Purpose: The purpose of this study was to identify related factors in the organizational socialization of new nurses, focusing on the reality shock of new nurses and social support by education specialist nurses. Methods: Participants were 122 new nurses with clinical experience of 1 year or less as nurses working in a general hospital that is carrying out a pilot project for a new nurse training system. Data were collected using self-report questionnaires which included identification of participants' characteristics, social support of education specialist nurse, reality shock and organizational socialization. Results: The organizational socialization score was 3.07±0.45 points. The results of the stepwise multiple regression showed that factors affecting organizational socialization of new nurses were social support by gender, education specialist nurse and reality shock. These three variables accounted for 72.0% of organizational socialization. Conclusion: These findings suggest that the social support of education specialist nurses be enhanced to increase the organizational socialization of new nurses. There is also a need for a program to decreased the reality shock of new nurses.

SW 교육 보조 도구로서의 AI 챗봇 활용 (The Use of AI Chatbot as An Assistant Tool for SW Education)

  • 최서원;남재현
    • 한국정보통신학회논문지
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    • 제23권12호
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    • pp.1693-1699
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    • 2019
  • 최근 중학교에서 진행되고 있는 SW 교육은 주로 피지컬 컴퓨팅, 언플러그드 학습 그리고 시범 실습 교육을 위주로 진행되고 있다. 하지만 각각 비용, 흥미유발, 동기부여, 수업 집중 등 여러 가지 측면에서 어려움을 겪고 있다. 또한 체계적인 수업 설계가 이루어지지 않으면 학생들의 수업 이해도나 학업 성취도에 부정적인 영향을 줄 수 있다. 본 논문의 목적은 기존 SW 교육에 활용되던 수업 도구보다 비용의 부담이 적으며 수업 설계에 보조적인 역할을 수행할 수 있는 챗봇을 개발하는 것이다. 이를 활용하여 함수 적용, 알고리즘 설계 및 프로그램 코딩과 같은 코딩이 이루어지는 메커니즘을 이해할 필요가 있는 수업 시나리오에서는 학생들이 챗봇 시스템을 통해 스스로 학습을 가능하여 학생들의 학습에 긍정적인 영향을 미쳤다.

데이컴 기법을 적용한 일차의료 만성질환관리 간호사 케어코디네이터 직무분석 (Job Analysis of Nurse Care Coordinators for Chronic Illness Management in Primary Care Settings: Using Developing a Curriculum Process)

  • 황주희;최용준;김미숙;이성은;박용순;김지향;윤주영;신동수
    • 대한간호학회지
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    • 제51권6호
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    • pp.758-768
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    • 2021
  • Purpose: This study aimed to conduct a job analysis of nurse carecoordinators and to identify the frequency, importance and difficulty of each task of their job. Methods: A committee for developing a curriculum (DACUM) was formed and members of the committee defined nurse care coordinators' jobs and enumerated the duties, tasks and task elements by applying the DACUM technique. Then nurse care coordinators enrolled in the pilot project evaluated the frequency, importance and difficulty of each task. Results: From the job descriptions of nurse care coordinators, we identified 12 duties and 42 tasks. Each task comprised 1~5 task elements. Among tasks, 'assess the patient's general health status' was carried out most frequently. Nurse care coordinators perceived that 'check vital signs' and 'strengthen patient competence to promote health behaviors' were more important than all other tasks. The most difficult task was 'develop professionalism as a nurse care coordinator'. Conclusion: The nurse care coordinators' roles developed in this study will serve as the key guidelines for human resource management of care coordinators. Further, job specifications for nurse care coordinators need to be developed, which is necessary for designing education and training programs. We also need to integrate primary health care as an essential component in nursing education.

해안사구 식생의 보전 및 관리를 위한 딥러닝 기반 모니터링 (Deep learning-based monitoring for conservation and management of coastal dune vegetation)

  • 김동우;구자운;홍예지;김세민;손승우
    • 한국환경복원기술학회지
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    • 제25권6호
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    • pp.25-33
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    • 2022
  • In this study, a monitoring method using high-resolution images acquired by unmanned aerial vehicles and deep learning algorithms was proposed for the management of the Sinduri coastal sand dunes. Class classification was done using U-net, a semantic division method. The classification target classified 3 types of sand dune vegetation into 4 classes, and the model was trained and tested with a total of 320 training images and 48 test images. Ignored label was applied to improve the performance of the model, and then evaluated by applying two loss functions, CE Loss and BCE Loss. As a result of the evaluation, when CE Loss was applied, the value of mIoU for each class was the highest, but it can be judged that the performance of BCE Loss is better considering the time efficiency consumed in learning. It is meaningful as a pilot application of unmanned aerial vehicles and deep learning as a method to monitor and manage sand dune vegetation. The possibility of using the deep learning image analysis technology to monitor sand dune vegetation has been confirmed, and it is expected that the proposed method can be used not only in sand dune vegetation but also in various fields such as forests and grasslands.

숙련 외국인 어선원 확보를 위한 제도 개선 방안 : 연근해 어업을 중심으로 (Policy Suggestions to Retain Skilled Migrant Fishermen in Korea : Focus on Offshore Fishing )

  • 현채민;최서리
    • 수산경영론집
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    • 제54권1호
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    • pp.1-22
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    • 2023
  • With the restriction of foreigners' entry into Korea due to the COVID-19 pandemic, the fishery industry faced significant challenges in supplying migrant workers. In response to this, there is growing interest in methods that could facilitate the stable employment of migrant workers. This paper investigates whether the current system used for the employment of migrant workers in the fishery industry, which is highly dependent on them, adequately performs its function of providing a stable and skilled workforce amid the intensified labor shortage resulting from decreasing numbers of households with employment in the fishery and the aging Korean fishermen. To this end, past studies and government documents pertaining to the current system were analyzed, and a survey targeting the owners of offshore fishing boats that employ migrant workers was conducted. A total of 147 owners of fishing boats responded to the survey, and the data of 499 migrant workers employed by them were used for the analysis. The analysis indicated that the migrant fishermen had difficulty in acquiring minimum scores for the change of visa status according to the criteria for the Skilled Worker Points System. Furthermore, distinct differences were found between the characteristics and working conditions of migrant workers employed through the Employment Permit System (EPS) and the Foreign Seamen System. Based on this result, this paper suggests the reorganization of the skilled migrant worker system in the fishery industry and the expansion of the regional specialized visa pilot project.

임부를 위한 자비명상 기반 중재의 가능성 탐색: 예비연구 (An Examination of the Possibility of Loving-Kindness and Compassion Meditation for Pregnant Women: A Preliminary Study)

  • 김민정;허정문;김완석
    • 스트레스연구
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    • 제25권2호
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    • pp.145-154
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    • 2017
  • 임부들의 심리적 안정과 태아와의 건강한 관계는 주산기 적응에 중요한 것으로 알려져 있다. 본 연구에서는 정신건강과 대인관계 개선에 효과적인 것으로 알려져 있는 자비명상을 임부용으로 개발하기 위하여 탐색적 예비연구를 진행하였다. 효과성과 개선점을 파악하기 위해 4주 자비명상 프로그램 참가자(n=8)들의 스트레스, 우울, 태아애착, 마음챙김 및 자기자비를 기저선과 사후에 측정하였으며, 포커스 그룹 인터뷰를 바탕으로 현상학적 분석을 실시하였다. 결과는 자비명상이 임부의 심리적 안정과 태아와의 관계에 긍정적인 영향을 줄 가능성이 나타났으며, 회기구성 및 가정수련 보강방안 등의 보완점들을 발견할 수 있었다. 본 연구가 임부용 자비명상 개발을 위한 이해의 폭을 넓히고, 추후 연구들을 촉진할 것이라 기대한다.

클라우드 기반 차세대 VTS 통합플랫폼 도입에 따른 교육과정 개발에 관한 연구 (A Study on the Development of Operator Training Methods for a Cloud-Based Vessel Traffic Service Platform)

  • 정민;김정호;장은규;배석한
    • 해양환경안전학회지
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    • 제29권7호
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    • pp.939-949
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    • 2023
  • 우리나라에서는 해상교통관제분야에 4차산업기술 중 클라우드, AI 기술을 접목한 클라우드 해상교통관제시스템이 개발중에 있으며, 기존의 해상교통관제시스템(VTS)과는 차별화된 기술과 운영프로그램이 적용되어, 현재 부산항 VTS에 시범센터의 구축이 진행 중이다. 신개념의 클라우드 VTS를 운용하게된 운영자와 유지보수 담당자등의 종사자들의 역할이 새롭게 정의될 필요가 있으며, 클라우드 VTS의 원할한 운영을 위한 신규 교육과정개발이 요구되는 시점이다. 따라서, 동 연구에서는 클라우드 VTS의 개발내용을 소개하고, 안전한 운영을 보장할 수 있는 클라우드 VTS 운영자 및 유지보수 담당자를 대상으로 하는 교육시행 방안에 관한 연구를 수행하였다.

딥러닝 기반의 식생 모니터링 가능성 평가 (Evaluation of the Feasibility of Deep Learning for Vegetation Monitoring)

  • 김동우;손승우
    • 한국환경복원기술학회지
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    • 제26권6호
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    • pp.85-96
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    • 2023
  • This study proposes a method for forest vegetation monitoring using high-resolution aerial imagery captured by unmanned aerial vehicles(UAV) and deep learning technology. The research site was selected in the forested area of Mountain Dogo, Asan City, Chungcheongnam-do, and the target species for monitoring included Pinus densiflora, Quercus mongolica, and Quercus acutissima. To classify vegetation species at the pixel level in UAV imagery based on characteristics such as leaf shape, size, and color, the study employed the semantic segmentation method using the prominent U-net deep learning model. The research results indicated that it was possible to visually distinguish Pinus densiflora Siebold & Zucc, Quercus mongolica Fisch. ex Ledeb, and Quercus acutissima Carruth in 135 aerial images captured by UAV. Out of these, 104 images were used as training data for the deep learning model, while 31 images were used for inference. The optimization of the deep learning model resulted in an overall average pixel accuracy of 92.60, with mIoU at 0.80 and FIoU at 0.82, demonstrating the successful construction of a reliable deep learning model. This study is significant as a pilot case for the application of UAV and deep learning to monitor and manage representative species among climate-vulnerable vegetation, including Pinus densiflora, Quercus mongolica, and Quercus acutissima. It is expected that in the future, UAV and deep learning models can be applied to a variety of vegetation species to better address forest management.

지역사회중심 가정간호 시범사업 성과평가를 위한 기초연구- 서울시 간호사회 주관 - (A Preliminary Study for Evaluating on Demonstration Project of Community-based Home Health Care Nursing Services by the Seoul Nurses Association)

  • 유호신;이소우;문희자;황나미;박성애;박정숙;최행지;정기순;한상애
    • 대한간호학회지
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    • 제30권6호
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    • pp.1488-1502
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    • 2000
  • This study, based on current home nursing services, aims at promoting measures for establishing a community-based home nursing system derived from the pilot home nursing demonstration project conducted by the Seoul Nurses Association. The study was based on an analysis of home nursing records from march 1993 to December 1999. The following is a summary analysis, based on individual characteristics of the patients, the organization, which recommended the service for their patients and personnel services. 1. The service has been used by many elderly people 60years of age or older(66.4%). and married people(60.9%). The average number of visits by service personnel for patients of city government was 23.5. This is 2.5 times as many visits by general patients. General patients(20.2%) had only one visit from service personnel, while 65.5% of patients of city government had 10 or more visits. Particularly, for government recommended patients, 72.7% of the patients were recommended by nurses, while only 21.9% where referred to the services by doctors. The main focus of a home nursing service was to maintain present health status (53.4%), and hospice(11.6%). Also to increase hospital-based home nursing services focused on recovery(55.9%) and maintain present health conditions (19.0%). 2. For general patients, 42.0% of patients were suffering from problems related to CVA, 11.3% from high blood pressure, and for patients referred from city, 21.2% from skeletal muscular disease. Results of home nursing services 29.4% of patients were able to recover or maintain their health status, but 48.9% of the patients died. Another main point of community-based home nursing services is medication(6.7%), other basic nursing services(6.1%), special treatment, instructions on how to use medical devices(5.9%), change of physical posture(4.6%), and training on changing physical positions(4.7%). As mentioned above there were some differences between the characteristics of patients who used the pilot home nursing service conducted by the Seoul Nurses Association and those hospital-based service users. The results are believed to be useful to support a community-based home nursing service model. Particularly, patients under medical supervision and patients recommended by government-run health clinics show a higher frequency and longer use of home nursing services compared to general patients or hospital-based home nursing service users. According to the study, nurses accounted for a large number of recommendations for home nursing services. Many patients with CVA, high blood pressure, skeletal muscular disease and bedsores used community-based home nursing services, while others used the service for minor treatments or maintaining their current health status. Based on the study, the researchers make several suggestions to establish a community- based home nursing service system. First, different ways of setting up a community-based home nursing system have to be mapped out based on the evaluation of the pilot home nursing service conducted by the Seoul Nurses Association. Secondly, a new, community-based, home health care nursing service model, and reimbursement payment system have to be developed. This is based on the outcome of the analysis, and implemented policy. Accordingly, efforts are needed to develop a community- based home nursing system with an intermediary role to promote the visiting nursing services of government-run health centers.

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부당청구 예방형 자율점검제가 의료기관의 청구행태에 미치는 영향: 정맥 내 일시주사(KK020)를 중심으로 (Impact of a 'Proactive Self-Audit Program of Fraudulent Claims' on Healthcare Providers' Claims Patterns: Intravenous Injections (KK020))

  • 이희화;원영주;이광수;유기봉
    • 보건행정학회지
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    • 제34권2호
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    • pp.163-177
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    • 2024
  • 연구배경: 본 연구는 부당청구 예방형 자율점검제 시범사업의 "개선요청 통보 및 모니터링" 중재활동이 의료기관의 중재 실시 전과 후 청구건수와 청구총진료비 청구행태에 있어서의 변화를 검증하고자 하였다. 방법: 자료는 건강보험심사평가원의 2021년 7월부터 2022년 2월까지 시범사업 항목인 '정맥 내 일시주사(KK020)'를 청구한 기관 중 예방형 자율점검제 대상기관으로 선정된 1,129개 의료기관의 청구자료와 신고 현황자료를 활용하였다. 비교 대상을 선정하기 위해 1:3 비율로 성향점수매칭을 사용하였고, 청구행태 변화를 검증하기 위해 대응표본 t-검정과 t-검정을 실시하였다. 또한 청구행태 변화에 차이가 있는 경우 이에 영향을 미치는 요인분석을 위하여 회귀분석을 시행하였다. 결과: 중재 실시 전과 후의 청구행태는 실험군의 모든 의료기관 종별에서 청구건수와 청구총진료비가 유의하게 감소하였고, 의원의 대조군에서는 유의한 증가를 보였다. 의료기관 및 의사 특성에 따른 중재 실시 전·후 청구행태는 실험군은 의원의 의사 연령 40세 미만을 제외하고 모든 종별에서 유의하게 감소하였다. 대조군은 종합병원과 병원은 개원기간에서, 의원은 표시과목에서 일부 유의한 감소가 있었고, 의사 50세 이상 남성에서 유의하게 증가한 것으로 나타났다. 실험군 대상 의료기관의 청구행태에 변화에 대한 회귀분석 결과, 모든 종별에서 중재 실시 전과 후에 청구건수와 청구총진료비가 유의하게 감소하였다. 또한 의료기관과 의사 특성에서 병원은 개원기간이 길수록 유의한 증가를 나타났고, 의원은 소재지역과 표시과목(기타)에서 유의한 감소를 보였다. 결론: 실험군의 부당청구 예방형 자율점검제의 중재 실시 이후 청구경향의 변화가 연구가설대로 감소하는 경향을 보였다. 이는 제도 시행 직후에 의료기관 스스로 청구행태를 개선하고, 교정하는 사전예방적 활동의 효과가 존재하는 것으로 나타났다. 또한 대조군에서도 통보 대상기관 위주의 제도운영방식에도 불구하고 일부 유의한 감소가 나타난 것은 예방형 자율점검제의 간접적인 효과로 볼 수 있다. 따라서 비대상기관에도 청구행태 개선활동이 이루어질 수 있도록 적극적인 홍보와 교육, 간담회 등의 추가적인 지원과 지속적인 모니터링이 필요하다. 이를 통해 부당청구가 감소될 수 있도록 예방형 자율점검제를 확대하는 것이 바람직하다.