• Journal of Korean Academy of Nursing Administration
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• v.14 no.4
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• pp.440-447
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• 2008

Purpose: This study was to identify the factors affecting utilization of clinical nurses' hospital information system. Method: Using a convenient sampling, 450 nurses from 9 secondary or tertiary university hospitals in B metropolitan city were selected. Results: The extent that nurses utilize the hospital information system was 3.22 point on average. The hospital information system utilization was positively correlated with personal information utilization skill, information-oriented education, attitude toward computer, and support of the chief manager, while as negatively correlated with the organizational atmosphere. The causal factors of influencing on the hospital information system utilization were personal information technology, education experience of the hospital information system, age, attitude toward computers, education level and support of the chief manager. The total eigenvalue of the variables was 38%. The major variables of influencing on the hospital information system utilization were the personal information technology and education experience of the hospital information system. Conclusions: Thus, nurse managers should provide training courses to improve personal information technology of nurses, and consistently promote them so that nurses can readily apply the hospital information system which have been recently introduced in various ways and thus improve the efficiency of nursing.

• Journal of Korean Academy of Nursing
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• v.34 no.2
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• pp.290-296
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• 2004

Purpose: The purpose of this study was to develop a home care nursing network system for operating home care effectively and efficiently by utilizing a wire-wireless network and mobile computing in order to record and send patients' data in real time, and by combining the headquarter office and the local offices with home care nurses over the Internet. It complements the preceding research from 1999 by adding home care nursing standard guidelines and upgrading the PDA program. Method: Method/l and Prototyping were adopted to develop the main network system. Result: The detailed research process is as follows: 1 )home care nursing standard guidelines for Diabetes, cancer and peritoneal-dialysis were added in 12 domains of nursing problem fields with nursing assessment/intervention algorithms. 2) complementing the PDA program was done by omitting and integrating the home care nursing algorhythm path which is unnecessary and duplicated. Also, upgrading the PDA system was done by utilizing the machinery and tools where the PDA and the data transmission modem are integrated, CDMX-1X base construction, in order to reduce a transmission error or transmission failure.

• Korean Journal of Adult Nursing
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• v.13 no.4
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• pp.517-528
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• 2001

목적: 본 연구의 목적은 미국 아이오와 대학에서 개발된 Nursing Interventions Classification (NIC)을 사용하여 신경기계 병동과 정형외과 병동에 근무하는 간호사들이 가장 빈번히 수행하는 간호중재를 파악함으로서 이러한 부서의 간호중재 리스트를 개발하는데 있다. 그리고 확인된 간호중재의 리스트를 미국 간호협회의 핵심 간호중재 목록과 비교함으로써 양국간의 간호중재의 유사성과 차이를 비교함으로써 한국간호의 발전을 도모하는데 있다. 방법: 8개의3차병원 및 종합병원 근무하는 간호사에게 NIC을 번역하여 소개한 뒤 가장 자주 수행하는 간호중재 30개를 선택하게 하였다. 선택된 간호중재는 빈도와 백분율 이용하여 분석하였고 미국의 핵심간호 중재목록과 영역(domain)별, 분류군 (class)별로 비교하였다. 결과: 신경기계 병동은 30개의 간호중재를 정형외과 병동은 34개를 핵심간호중재로 확인하였다. 한국과 미국의 간호중재를 비교해본 결과 신경기계 병동의 간호중재와 미국American Association of Neuroscience Nurses (AANN) 의 핵심간호중재 목록과는 단지 5개의 간호중재가 일치하였지만 정형외과 병동의 간호중재목록은 미국의 National Association of orthopaedic Nurses (NAON) 의 핵심중재목록과 27개의 간호중재가 일치되어 더 많은 유사성을 나타내었다. 두 나라의 간호중재를 영역(domain)별로 비교해보면 한국 간호사의 간호중재는 미국간호단체의 핵심간호 중재 목록보다 신체적 간호에 보다 많은 편중을 보였다. 결론: 한국간호사의 간호중재가 신체적 간호중재에 집중되어 있으므로 환자간호에 보다 전인적인 간호중재가 수행될 수 있도록 노력해야 할 것이다. 그리고 본 연구를 통해 개발된 핵심 간호중재 목록은 병원의 간호정보시스템을 개발하는데 사용될 수 있으며, 간호지식의 확장이나 staffing, 간호 수가화, 그리고 궁극적으로는 간호의 효과성 연구를 자극할 수 있을 것이다.

• Journal of Convergence for Information Technology
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• v.11 no.1
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• pp.156-166
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• 2021

The purpose of this study is to find out the impact of classes using a game-based student response system on learning engagement. It is an experimental study that compares learning engagement in classes (experimental groups) and lecture-style classes (comparative groups) that utilize GSRS in nursing education. A total of 211 nursing students participated from October 2019 to December 2019. The differences in learning engagement between the two groups were analyzed as t-test and correlation analysis was conducted on related factors. There was a difference between the comparison group and the experimental group in overall learning engagement(p=.013) and emotional engagement(p=.002). This is meaningful in that it has verified the learning engagement effect of the GSRS for the first time in Korea.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.06a
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• pp.283-288
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• 2007

본 논문에서는 전문적인 지식이 부족한 일반인들을 대상으로 자신의 건강 상태를 파악 할 수 있는 자가 진단 시스템을 제안한다. 제안한 시스템은 68가지 질병과 각 질병에 대한 대표 증상 데이터 베이스를 이용하여 사용자의 질병을 도출한다. 본 논문에서는 사용자가 자신의 대표증상을 입력하면 해당 증상과 관련 있는 질병만을 자율 학습 방법 신경망인 ART2 알고리즘을 적용하여 클러스터링하고 각 질병의 증상과 관련된 질의 결과를 입력 벡터로 적용하여 사용자의 건강 상태를 진단한다. 사용자의 건강 상태를 진단하는데 있어서 질병과 증상의 정확한 정보는 매우 중요하다. 따라서 데이터베이스를 이용하여 질병과 증상의 정보관리를 유용하게 할 수 있도록 하였다. 제안된 자가 진단시스템을 구현하여 간호학 전문의가 분석한 결과, 본 논문에서 제안한 시스템이 질병의 보조 진단 시스템의 도구로서의 가능성을 확인하였다.

• Journal of Korean Public Health Nursing
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• v.17 no.1
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• pp.26-34
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• 2003

The purpose of this study was to analyze the activities of Community Health Nurse Practitionses using the Community Health Post Information System(CHPIS). The information system that have been introduced in 1994 and used by 400 Community Health Posts(CHPs) since 1997, which is about $20\%$ of the total CHPs nationwide. Twenty-five CHPs from two provinces participated in the analysis. Seventy-two percent of the CHPs among the participating CHPs started using the system since 1996. The degree of utilization of the information system was classified into three groups (i. e., high. medium, and low). The results revealed that only $48\%$ utilized the system with high level. The areas of analysis of the information system included characteristics of community residents, environmental attributes, and job analysis of Community Health Nurse Practitioners(CHNPs). The study results indicated that primary health care and drug demand and supply system showed the highest level of satisfaction in utilizing the information system by CHNPs.

• Journal of Korean Academy of Nursing
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• v.37 no.1
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• pp.14-25
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• 2007

Purpose: A user centered web-based mental health management system may be particularly useful in Korea where there is widespread diffusion of personal computers and internet connectivity. The purpose of this paper was to describe the development of a web-based system for mental health management in adolescents using principals of a user centered design. Method: Our design process includes five distinct phases: needs assessment, analysis, design, development/testing/revision, and application release. Results: Web content includes an introduction, information about mental health management in adolescents, self-assessment and guidance, interventions for improving mental health, directory of self-help groups, and counseling and additional community resources. The web site was released using the URL: http://www.baejy.com/youth. Conclusion: The end result was a web based mental health management system for adolescents with a high degree of usability. The author believes that web-based mental health interventions in the future have true potential in helping Koreans who are suffering, or at risk, for mental health problems, particularly because of the stigma related to psychiatric therapy in Korea.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.326-327
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• 2022

This study is an algorithm for clinical decision-making using machine learning, and it is an algorithm to classify pressure sores to be used in the development of a system to help prevent pressure sores when nursing staff care for patients who lie down for a long time. As a result of machine learning, the learning accuracy of the algorithm was 82.14% and the test accuracy was 82.58%.

• The Journal of the Korea Contents Association
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• v.11 no.7
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• pp.1-8
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• 2011

In modern society, the amount of information has been significantly increased according to the development of Internet and IT convergence technology and that leads to develop information obtaining and searching technologies from lots of data. Although the system integration for medicare has been largely established and that accumulates large amounts of information, there is a lack of providing and supporting information for nursing activities using such established database. In particular, the judgement for the intervention of pains depends on the experience of individual nurses and that leads to make subjective decisions in usual. In this paper, a pain nursing supporting method that uses the existing medical data and performs collaborative filtering is proposed. The proposed collaborative filtering is a method that extracts some items, which represent a high relativeness level, based on similar preferences. A preference estimation method using a user based collaborative filtering method calculates user similarities through Pearson correlation coefficients in which a neighbor selection method is used based on the user preference.

• Journal of Korean Academy of Nursing Administration
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• v.8 no.2
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• pp.239-248
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• 2002

Purpose: The actual nursing processes have been performed by individual nurses' judgment without any supporting programs in Korea. It is not easy for novice nurses to make accurate diagnoses and provide proper nursing interventions to patients. Therefore, we propose a computerized program for nursing diagnosis and intervention linked to medical diagnosis. Method: For the program, we have linked standardized nursing diagnosis and intervention classifications with medical diagnosis. It is premised that the program is connected to order communication system(OCS) in hospitals. Result: We provide a nursing information system with standardized database for nursing diagnosis and interventions so that nurses can make more accurate diagnosis and perform more adequate interventions. Conclusion: It is expected that the program will help the nurses perform their nursing processes more efficiently. And we expect the system can be used in many hospitals efficiently in the future after pilot operations are completed in some hospitals.