16 research outputs found

    Development and Usability Test of a Website for Cancer Symptom Management

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    Objective: This study was conducted to develop cancer patients' symptom management guideline, and to develop and test the utility of the web-based guideline service system. Methods: Based on the literature review, guidelines for symptom management for nausea/vomiting, fatigue, constipation, diarrhea, and oral mucositis were developed. A web-based cancer patients' symptom management system was developed on the basis of guideline developed in the first stage of the study. Forty-five oncology nurses were recruited and asked to evaluate and validate the system by rating level of satisfaction with function, content and effectiveness of the web-based service after they used the website for cancer patients care. Results: Regarding the function of the system around 50% of oncology nurses expressed satisfaction with the system. Regarding the content of the system, nurses expressed highest satisfaction with reliability of information(66.7%) and lowest satisfaction with sufficiency of information (37.7%). Regarding the effectiveness of the system in terms of knowledge enhancement, about 40% of nurses indicated that they satisfied with the system. In terms of usefulness of the system, 48.9% of nurses expressed their satisfaction with the system. Conclusion: The result of this study has implications on future use of a web-based guideline for managing symptoms of cancer patients.OAIID:oai:osos.snu.ac.kr:snu2005-01/102/0000028528/3SEQ:3PERF_CD:SNU2005-01EVAL_ITEM_CD:102USER_ID:0000028528ADJUST_YN:NEMP_ID:A076124DEPT_CD:811FILENAME:06 μ•”ν™˜μžμ˜ μ£Όμš”μ¦μƒ 관리λ₯Ό μœ„ν•œ μ›Ήμ‚¬μ΄νŠΈ 개발 및 ν™œμš©μ„± 평가.pdfDEPT_NM:κ°„ν˜Έν•™κ³ΌEMAIL:[email protected]_YN:NCONFIRM:

    Data Mapping of the Terms for Developing an Integrated Information System in Home and Visiting Healthcare Documents

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    Purpose: This study sought to determine the possibility of developing the data-sharing infrastructure of an integrated information system to improve the quality of home and visit-based healthcare services. Methods: The articles of study here were the forms used by a visiting healthcare agency, a home healthcare system of a home healthcare agency, and those used in long-term care insurance for elderly. We visited a visit-based healthcare agency and a home healthcare agency to survey their forms and interviewed relevant practitioners, and we searched for forms associated with long-term care insurance for the elderly on the Internet. We then organized the terms in each form and mapped them among the form after analyzing the concepts as a whole to inquiry into the possibility of integration. Results: The mapping procedure divided the terms into those related to personal information, problems and interventions. Mapping between the standard system (Omaha system) and the type of form was also done. Conclusion: In this study, we found that programs were configured differently depending on the objectives of the service. It is necessary to develop the program with an integrated information system by comparing the three services in terms of their distinct advantages, after which such a service should be utilized. The results of this study can serve as a database for the creation of a new integrated system.OAIID:oai:osos.snu.ac.kr:snu2011-01/102/0000028528/5SEQ:5PERF_CD:SNU2011-01EVAL_ITEM_CD:102USER_ID:0000028528ADJUST_YN:NEMP_ID:A076124DEPT_CD:811CITE_RATE:0FILENAME:μž¬κ°€Β·λ°©λ¬Έ 건강관리 ν†΅ν•©μ •λ³΄μ‹œμŠ€ν…œ ꡬ좕을 μœ„ν•œ.pdfDEPT_NM:κ°„ν˜Έν•™κ³ΌEMAIL:[email protected]_YN:NCONFIRM:

    Simulation of population-based model of coronary heart disease morbidity and mortality

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    Development of a Nursing Diagnosis System Using a Neural Network Model

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    Neural networks have recently attracted considerable attention in the field of classification and other areas. The purpose of this study was to demonstrate an experiment using back-propagation neural network model applied to nursing diagnosis. The network's structure has three layers ; one input layer for representing signs and symptoms and one output layer for nursing diagnosis as well as one hidden layer. The first prototype of a nursing diagnosis system for patients with stomach cancer was developed with 254 nodes for the input layer and 20 nodes for the output layer of 20 nursing diagnoses, by utilizing learning data set collected from 118 patients with stomach cancer. It showed a hitting ratio of .93 when the model was developed with 20,000 times of learning, 6 nodes of hidden layer, 0.5 of momentum and 0.5 of learning coefficient. The system was primarily designed to be an aid in the clinical reasoning process. It was intended to simplify the use of nursing diagnoses for clinical practitioners. In order to validate the developed model, a set of test data from 20 patients with stomach cancer was applied to the diagnosis system. The data for 17 patients were concurrent with the result produced from the nursing diagnosis system which shows the hitting ratio of 85οΌ…. Future research is needed to develop a system with more nursing diagnoses and an evaluation process, and to expand the system to be applicable to other groups of patients.이 논문은 1993년도 ν•™μˆ μ§„ν₯μž¬λ‹¨μ˜ 자유곡λͺ¨κ³Όμ œ ν•™μˆ μ—°κ΅¬ 쑰성비에 μ˜ν•΄ μ§€μ›λ˜μ—ˆμŒ

    Development of Detailed Clinical Models for Pain Assessment

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    Purpose: The aim of this study was to develop and validate Detailed Clinical Models (DCMs) for pain assessment in nursing. Methods: First, we identified the entities of pain assessment from ICNP. We identified the attributes and values of the attributes to describe the entities in more detail by reviewing the literature. Data types and optionalities of the attributes were defined. Second, we modeled the DCMs by linking an entity and its corresponding attributes with values and by specifying the data types and optionalities of the attributes. Finally, the DCMs were validated by a group of domain experts using a content validity index. Results: In total, 19 DCMs with 11 attributes for pain assessment were developed. The experts' evaluations showed that the DCMs were valid enough to represent pain related information of nursing assessment. Conclusion: The DCMs developed in this study can be used in electronic nursing records. The DCMs for pain can ensure the semantic interoperability of pain related information in electronic nursing records

    건강증진 μ€‘μ‹¬μ˜ ν•™λΆ€ ꡐ과과정에 κ΄€ν•œ 평가연ꡬ

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    The purpose of this study is to evaluate the revised curriculum of the college of nursing, Seoul National University. This curriculum was consisted of three conceptual framework: health promotion, illness care and professional development. Especially it is intended to enhance the ability in solving health problem by focusing on the topic of health promotion. Further, the curriculum is strengthening on the professional development through encouraging scholarly inquiry of students. The result of survey was as follows: 1) Is the curriculum focusing on the health promotion generally? - 81.2% of graduates answered positively. 2) Is the curriculum reflecting on the six aims of the education for the college if nursing? - 64.6% of graduates answered positively. 3) Is the curriculum reflecting on the concept of health promotion properly? -72.8% of faculty answered positively. 4) Did the curriculum achieve the six aims of college of nursing effectively? - 82.6% of faculty answered positively. 5) Was the lecture of each subject ect in the new curriculum given with focus on the concept of health promotion? - 60.9 % answered affirmatively 6) Did the optional subjects achieve the goal of professional development effectively? - 83% of faculty answered affirmatively
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