• Journal of Home Health Care Nursing
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• v.24 no.2
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• pp.181-188
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• 2017

Purpose: The aim of this study was to compare between performance and requirements of visiting nursing care in long-term care insurance using the OMAHA system. Methods: The subjects were 72 nurses who had worked in a visiting nursing care center in long-term care insurance. Data were collected from December 5, 2016 to January 31, 2017 using self-recorded questionnaires. The collected data were analyzed using descriptive statistics and paired t-tests. Results: Four dimensions of the OMAHA system showed statistically significant differences between performance and requirements of visiting nursing care in long-term care insurance. The requirements of visiting nursing care were higher than was performance on all 40 items of the OMAHA system. The greatest difference was in environmental domain and then the psychosocial domain. Conclusion: Based on the results, we found that the environmental and psychosocial domains were the largest gap areas. Therefore, with the reality of elderly people living alone and the increase in elderly couples, active intervention connected with the community is needed in residential areas. Further, we suggest that the OMAHA system can be utilized as an integrated conceptual framework for developing and enhancing visiting nursing care in long-term care insurance.

• Journal of information and communication convergence engineering
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• v.14 no.1
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• pp.45-50
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• 2016

Gait-based classification has gained much interest as a possible authentication method because it incorporate an intrinsic personal signature that is difficult to mimic. The study investigates machine learning techniques to mitigate the natural variations in gait among different subjects. We incorporated several machine learning algorithms into this study using the data mining package called Waikato Environment for Knowledge Analysis (WEKA). WEKA's convenient interface enabled us to apply various sets of machine learning algorithms to understand whether each algorithm can capture certain distinctive gait features. First, we defined 24 gait features by analyzing three-axis acceleration data, and then selectively used them for distinguishing subjects 10 years of age or younger from those aged 20 to 40. We also applied a machine learning voting scheme to improve the accuracy of the classification. The classification accuracy of the proposed system was about 81% on average.

• Research in Community and Public Health Nursing
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• v.21 no.4
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• pp.512-521
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• 2010

Purpose: The remarkable progress in information and communication technology has had a great effect on the healthcare delivery system. The development of smart phone applications is a new field. The aim of our research was to provide assistance in developing smart phone applications for community health nursing. Methods: Based on an informative approach, this study developed persona and site maps, followed by a storyboard as a way of analyzing users' requirements and designing responses in the context of smart phone application development methodology. Results: We developed persona, user interface and database design successfully, and then seven nurses selected four nursing problems (income, residence, pain, and digestion hydration). The search time in seconds for the 2005 English OMAHA guidelines to find three nursing interventions for these problems was used to evaluate the effectiveness of the smart phone application. The results showed that smart phone applications' search was 21 times faster on the average than book guidelines. Conclusion: An English version of the OMAHA system application was developed for the Android smart phone market. It is hoped that smart phone applications such as this will be used internationally for nursing education.

• Journal of the Health Care and Life Science
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• v.8 no.2
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• pp.143-154
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• 2020

The aim of this study was to identify the performance and requirements of the visiting nursing care using Omaha system in public health center. The highest performance were 'personal hygiene', 'pain', 'medication regimen', 'nutrition', 'physical activity', 'sanitation', 'sleep and rest patterns', 'oral hygiene', 'mental health' in order. The lowest performance were 'sexuality', 'postpartum', 'income', 'family planning', 'pregnancy', 'spirituality', 'abuse', 'reproductive function', 'neglect' in order. Problems such as 'postpartum', 'pregnancy' and 'family planning' need to strengthen the role of visiting nurses according to the region. this result will be the basis for visitung nursing care.

• 한국보건간호학회:학술대회논문집
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• 2006.06a
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• pp.44-53
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• 2006

• 한국보건간호학회:학술대회논문집
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• 2006.06a
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• pp.54-65
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• 2006

• 한국보건간호학회:학술대회논문집
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• 2006.06a
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• pp.66-105
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• 2006

• 한국보건간호학회:학술대회논문집
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• 2006.06a
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• pp.106-112
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• 2006

• 한국보건간호학회:학술대회논문집
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• 2006.06b
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• pp.106-112
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• 2006

• 한국보건간호학회:학술대회논문집
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• 2006.06a
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• pp.30-43
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• 2006