• Human Ecology Research
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• 제58권4호
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• pp.613-633
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• 2020

This study identifies consumers' perceived benefits and costs when using Samsung Health (a healthcare app) based on consumer reviews from Google Play Store's app and social media discourse. We examine the differences in the benefits and the costs of Samsung Health using these two sources of data. We conducted text frequency analysis, clustering analysis, and semantic network analysis using R programming. The major findings are as follows. First, consumers experience benefits and costs on several functions of the app, such as step counting, device interlocking, information acquisition, and competition with global consumers. Second, the results of semantic network analysis showed that there were eight benefit factors and three cost factors. We also found that the three costs correspond to the benefits, indicating that some consumers gained benefits from certain functions while others gained costs from the same functions. Third, the comparison between consumer app review and social media discourse showed that the former is appropriate to assess the performance of app functions, while the latter is appropriate to examine how the app is used in daily life and how consumers feel about it. The current study suggests managerial implications to healthcare app service providers regarding what they should strengthen and improve to enhance consumers' satisfaction. It also suggests some implications from the two media, which can be mutually complementary, for researchers who study consumer opinions.

• 보건행정학회지
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• 제33권3호
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• pp.295-310
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• 2023

Background: The long-term care (LTC) group has higher rates of chronic disease and disability registration compared to the general older people population. There is a need to provide integrated medical services and care for LTC group. Consequently, this study aimed to identify medical usage patterns based on the ratings of LTC and the characteristics of benefits usage in the LTC group. Methods: This study employed the National Health Insurance Service Database to analyze the effects of demographic and LTC-related characteristics on medical usage from 2015 to 2019 using a repeated measures analysis. A longitudinal logit model was applied to binary data, while a linear mixed model was utilized for continuous data. Results: In the case of LTC ratings, a positive correlation was observed with overall medical usage. In terms of LTC benefit usage characteristics, a higher overall level of medical usage was found in the group using home care benefits. Detailed analysis by medical institution classification revealed a maintained correlation between care ratings and the volume of medical usage. However, medical usage by classification varied based on the characteristics of LTC benefit usage. Conclusion: This study identified a complex interaction between LTC characteristics and medical usage. Predicting the requisite medical services based on the LTC rating presented a challenge. Consequently, it becomes essential for the LTC group to continuously monitor medical and care needs, even after admission into the LTC system. To facilitate this, it is crucial to devise an LTC rating system that accurately reflects medical needs and to broaden the implementation of integrated medical-care policies.

• 대한영양사협회학술지
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• 제10권2호
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• pp.197-204
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• 2004

The purposes of this study was to analyze the operational difference of foodservice center for homebound elderly by the presence of the dietitian. The questionnaire was developed to measure all variables for menu management and distributed to 103 meal service centers in charge of congregate meal service program and 57 centers for home-delivered meal service program. The data of 160 centers in charge of congregate meal service and home-delivered service centers were usable for analysis. Statistical data analysis was completed using the SAS 8.1 package program for descriptive analysis and chi-square test. Only 21.9% meal service centers had dietitians, what is more, they were not professionals who did menu management but foodservice managers, volunteers, cook or social workers. The current foodservice programs for the homebound elderly were operated without professional. In the part of menu managemet, dietitians were more actively involved in menu planning in the elderly foodservice center in the presence of the dietitians. The performance level of healthcare service was not significantly different, but the nutrition education in the elderly foodservice center with the dietitians was more frequently performed than that without the dietitians(p<0.05). In the food purchasing and food production management, the significant differences were shown that in the elderly foodservice centers in the presence of the dietitians, the proportion of the contract purchasing was significantly higher than that of direct purchasing(p<0.01). In food sanitary management, the significant differences were not shown in the part of management of keeping meal for identifying the cause of food-borne illness and left-over, but the sanitation education for the foodservice employees was performed more frequently by the presence of the dietitians(p<0.01). In conclusion, the foodservice management was more systematically conducted in the elderly foodservice centers in the presence of the dietitians than that without dietitians. The elderly foodservice program has offered the health-related support for homebound elderly. Although there were several problems in elderly foodservice management, the program delivered well-targeted, effective, and efficient nutrition services and wide range of supportive service to the at-risk older population. It needs to be managed by professional for the improvement in the elderly foodservice.

• 가정∙방문간호학회지
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• 제30권2호
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• pp.141-154
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• 2023

Purpose: This study aimed to explore the social perception of visiting nursing before and after coronavirus disease (COVID-19). Methods: This survey-based study used online big data for comparative analysis by classifying the keywords related to visiting nursing searched on domestic portal sites before and after COVID-19. Results: According to the results of analyzing the Intertopic Distance Map based on Latent Dirichlet Allocation in this study, four topics were extracted, two each before and after COVID-19. The first topic before the COVID-19 period was termed "the expansion of visiting nursing subjects and services visiting nursing," while the second was termed "visiting nursing," which is related to customized welfare. The first topic after the COVID-19 period was termed "the suspension and resumption of visiting nursing services," while the second was "the development of a non-face-to-face home visit healthcare system". Conclusion: The results of this study can be used as useful reference data to contribute to future medical service delivery system reform policies starting at the end of COVID-19 and the revitalization of community care for visiting nursing.

• KIEAE Journal
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• 제14권6호
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• pp.23-29
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• 2014

It is essential to investigate the structure and the main characteristics of BSN (Bio-Sensor Network) platform in built smart healthcare environment while designing healthy housing facilities. For this study, WSN (Wireless Sensor Network) data transmission technologies have been employed with medical sensors, and optimal medical devices would provide various Web 2.0 services by connecting to the WiBro network. The BSN platform normally recognizes in surroundings of WBAN (Wireless Body Area Network) or WPAN (Wireless Personal Area Network), and it is possible to manage sensor nodes by utilizing SOAP (Simple Object Access Protocol) and REST (REpresentational State Transfer). In addition, the feature of SNMP (Simple Network Management Protocol) for mobile gateway is also included for being adapted to huge network structure. Finally, BSN platform will play a role as important clues for developing personal WSN service models for smart healthy housing properties.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2008년도 하계종합학술대회
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• pp.141-142
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• 2008

According as USN's application field is magnified, various results are appearing. Efforts to apply this results in life are progressing. In car field, is used in control that level of significance is less. In home network, is used in a household electric appli-ance control and electric lamp control, security etc.. In factory, is used in process control, and is used in various application because is involved with RFID leader recently. In this paper, patient's status monitoring, USN use wish to. Because USN can utilize existent network, it is system that can transmit various data as that change passed information.Wish to send information that get in health-care board. Information that can get in health-care board is blood pressure, blood sugar, stroke, SPO2, ECG, the activity amount, position. Also, wish to forecast use possibility to involved various service, silver industry with database.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2005년도 춘계학술발표대회
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• pp.1355-1358
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• 2005

최근 초고속 인터넷의 보급과 웰빙 복지사회 성숙은 기존 헬스케어 서비스의 컴퓨팅 환경을 통합 분산 환경에서 가능하게 하였다. 본 논문에서는 분산객체그룹 프레임워크를 적용하여 각종 센서와 장치 그리고 이를 지원하는 응용들을 그룹화 하여 헬스케어 홈 서비스를 제공하는 환경을 제안한다. 이를 위해 하위계층인 물리계층의 각종 센서 및 장치들과 상위 계층인 헬스케어 홈 서비스 응용간의 상호작용을 정의하였다. 그리고 헬스케어 홈 서비스 지원 시뮬레이터 환경에서 시뮬레이터를 구현 및 시연하여 객체그룹 프레임워크의 수행성을 검증하고, 보다 효과적인 헬스케어 홈 서비스 지원 수행환경을 제안하고자 한다.

• 보건행정학회지
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• 제24권4호
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• pp.349-356
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• 2014

Background: This study aimed to explore factors associated with the non-use of beneficiaries of long-term care insurance services for the elderly in Jeollanam-do Province by analyzing a dataset obtained from National Health Insurance Service. Methods: The study sample consists of 1,663 individuals who were evaluated as eligible for long-term care insurance services in Jeollanam-do Province during the period of July 1, 2008 through June 30, 2009. As a dependent variable, the non-use of the service was defined as one when a beneficiary had used it once or more times during one year after he or she was evaluated as eligible and as zero otherwise. A proportion analysis was conducted to describe characteristics of study sample. Chi-square tests were used to compare general characteristics between beneficiaries who had used the services and those who had not used them. Multiple logistic regressions were performed by three models including additional sets of explanatory variables such as socio-demographic characteristics, health conditions, and economic status. Results: Main results are summarized as follows. The proportion of beneficiaries who had not used the service was 14.5% of all beneficiaries. According to the results from the model using all explanatory variables, the factors associated with the non-use of the services were residence location, dwelling place, type of desired service, level of care needs, and instrumental activities of daily life limitations. Conclusion: In particular, regarding the type of desired service, the cash benefit showed a high likelihood of the non-use of the service; it had an odds ratio (OR) of 50.212 (95% confidence interval [CI], 24.00-105.04) compared with home service. In case of dwelling place, a hospital showed also a high likelihood of the non-use with an OR of 20.71 (95% CI, 10.12-42.44) compared with home.

• 감성과학
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• 제19권2호
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• pp.79-88
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• 2016

현대사회는 산업혁명 이후 물질적 풍요로움 속에 살고 있다. 한편 제품에 다양화에 따른 소비자들의 욕구도 다양화 되고 있다. 현대 소비자들은 과거와 달리 단순히 목적 지향적인 소비가 아니라 감성과 가치관을 충족시키는 개성적 소비로 트렌드가 바뀌고 있다. 그 대표적인 사례가 스타벅스다. 스타벅스는 매장 장식부터 시작해 전 세계 어느 매장이든 똑같은 자신들만의 매장 음악, 직원들의 서비스, 매력적인 커피 향 등으로 구성된 스타벅스만의 분위기를 파는 감성마케팅으로 오늘날 세계적인 커피 프랜차이즈로 성장했다. 이런 방법은 인간의 감성을 자극 하는 마케팅이기 때문에 눈에 보이지 않는 것을 인간의 감각이나 감성에 대입하여 호소하는 방식이다. 즉, 소비자들의 감성을 끌어 내어 제품에 대한 긍정적인 반응을 이끌어 내어 소비까지 이루어지게 하는 것이 감성마케팅의 매력이다. 제품이나 서비스에서 감성의 활용은 브랜드 이미지를 차별화하고 브랜드 로열티를 강화할 수 있는 핵심적인 방법이 되고 있다. 특히 소비자의 감동을 강하게 이끌어 내기 위해 고객서비스가 더욱 중요시 되고 있다. 무형의 서비스는 고객의 감동을 이끌어내는 최고의 수단이 되고 있다.

• 한국IT서비스학회지
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• 제15권4호
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• pp.41-62
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• 2016

In Internet of Things (IoT) era, more diverse types of information are collected and the environment of information usage, distribution, and processing is changing. Recently, there have been a growing number of cases involving breach and infringement of personal information in IoT services, for examples, including data breach incidents of Web cam service or drone and hacking cases of smart connected car or individual monitoring service. With the evolution of IoT, concerns on personal information protection has become a crucial issue and thus the risk analysis and management method of personal information should be systematically prepared. This study shows risk factors in IoT regarding possible breach of personal information and infringement of privacy. We propose "a risk analysis framework of protecting personal information in IoT environments" consisting of asset (personal information-type and sensitivity) subject to risk, threats of infringement (device, network, and server points), and social impact caused from the privacy incident. To verify this proposed framework, we conducted risk analysis of IoT services (smart communication device, connected car, smart healthcare, smart home, and smart infra) using this framework. Based on the analysis results, we identified the level of risk to personal information in IoT services and suggested measures to protect personal information and appropriately use it.