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지혜림,유수영,허은영,황희,김정훈 대한의료정보학회 2017 Healthcare Informatics Research Vol.23 No.4
Objectives: This study aimed to identify problems and issues that arise with the implementation of online health information exchange (HIE) systems in a medical environment and to identify solutions to facilitate the successful operation of future HIE systems in primary care clinics and hospitals. Methods: In this study, the issues that arose during the establishment and operation of an HIE system in a hospital were identified so that they could be addressed to enable the successful establishment and operation of a standard-based HIE system. After the issues were identified, they were reviewed and categorized by a group of experts that included medical information system experts, doctors, medical information standard experts, and HIE researchers. Then, solutions for the identified problems were derived based on the system development, operation, and improvement carried out during this work. Results: Twenty-one issues were identified during the implementation and operation of an online HIE system. These issues were then divided into four categories: system architecture and standards, documents and data items, consent of HIE, and usability. We offer technical and policy recommendations for various stakeholders based on the experiences of operating and improving the online HIE system in the medical field. Conclusions: The issues and solutions identified in this study regarding the implementation and operate of an online HIE system can provide valuable insight for planners to enable them to successfully design and operate such systems at a national level in the future. In addition, policy support from governments is needed.
산업용 CT 볼륨데이터에서 2, 3차원 크랙 강화 필터링을 이용한 금속품의 내부 및 표면 크랙 자동 검출
지혜림(Hyerim Ji),홍헬렌(Helen Hong) 한국정보과학회 2014 정보과학회논문지 : 소프트웨어 및 응용 Vol.41 No.1
본 논문에서는 산업용 CT 볼륨데이터에서 금속품 내부와 표면 크랙 검출 기법을 제안한다. 제안 방법은 첫째, 다운샘플링 데이터에서 제품 영역을 배경과 분리하여 관심볼륨을 자동으로 설정하고, 밝기값 히스토그램을 이용한 상대누적도수 기반의 임계값 기법을 이용하여 크랙 후보를 추출한다. 둘째, 형상 정보를 고려하기 위하여 다중 스케일 헤시안 행렬 기반의 2차원 크랙 강화 필터링으로 금속품 내부의 크랙을 검출한다. 셋째, 공간상의 크랙 결함 검출 정확성을 높이기 위해 3차원 다중 스케일 헤시안 행렬 기반의 크랙 강화 필터링을 이용하여 3차원 형태의 크랙을 검출한 후, 다단면 씬-슬랩 영역에서 크랙강화 필터링으로 금속품 표면의 크랙을 검출한다. 넷째, 원볼륨데이터에서 크랙 검출율 개선을 위하여 여과기법으로 금속품 내부와 표면의 크랙을 검출한다. 본 제안 방법의 결과를 평가하기 위하여 산업용 CT볼륨데이터와 시뮬레이션 데이터를 사용하여 육안 평가, 정확성 평가와 수행시간 측정을 수행하였다. In this paper, we propose a method for detecting internal and surface cracks of metal product in industrial CT volume data. Our method is composed of four main steps. First, product regions are separated from background in down-sampling data and volume of interest is automatically defined. Then crack candidates are extracted using thresholding based on relative cumulative frequency. Second, to consider density and shape information of cracks, internal cracks of metal products are detected using Hessian-based multi-scale 2D crack enhancement filtering. Third, to improve an accuracy of crack detection on three-dimensional space, spatial cracks are detected using Hessian-based multi-scale 3D crack enhancement filtering. For the detection of surface cracks of metal product, the 3D crack enhancement filtering is applied to multiplanar thin-slab areas. Fourth, to improve a crack detection rate in original volume data, internal and surface cracks of metal product are detected using percolation method. The performance of our method is evaluated with the aspects of visual inspection, accuracy assessment and processing time using industrial CT volume data and simulation data. For accuracy assessment, 2D line enhancement filtering, 3D sheet enhancement filtering and finite line integral method are used as comparative methods and Dice"s coefficient is measured.
지혜림(Ji, Hye-rim),김동희(Kim, Dong-Hee) 기본간호학회 2017 기본간호학회지 Vol.24 No.1
Purpose: The purpose of this study was to develop an algorithm for nursing care after percutaneous coronary intervention in order to improve patients’ safety and prevent complications, because percutaneous coronary intervention is becoming a common treatment for coronary artery diseases. Methods: By reviewing related literatures and interviewing nurses, items and paths that were to be used in the algorithm for nursing care after percutaneous coronary intervention were drawn up and a draft algorithm was developed. The final algorithm was determined based on the results of the evaluation performed after clinical application. Results: According to the outcome after allowing nurses to apply the revised algorithm with 11 patients, suitability on items composing the algorithm were highly rated whereas promptness was lowly rated. Although the patients (n=11) to whom the algorithm was applied complained of less back pain (p=.001) and discomfort (p=.026) compared to the patients (n=17) to whom the algorithm was not applied, no significant difference in bleeding complication was found. Conclusion: The findings in the study support the clinical utilization of the algorithm for nursing care after percutaneous coronary intervention as the use of this algorithm reduced back pain and discomfort without increasing bleeding complications at the femoral puncture site.