• Korean Journal of Artificial Intelligence
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• v.8 no.1
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• pp.1-6
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• 2020

The Recently there has been a growing interest in health care due to the COVID-19 situation. In this paper, we intend to develop a healthcare monitoring system to provide users with smart healthcare systems in line with the healthcare 3.0 era. The system consists of a wireless network between various sensors, Android smartphones, and OLEDs using Bluetooth, and through this, a health care monitoring system capable of collecting user's biometric information and managing health by receiving data values of sensors connected to Arduino. In conclusion, the user's BPM value was calculated using the heart rate sensor, and the exercise intensity can be adjusted through this. In addition, a step derivation algorithm is implemented using an acceleration sensor, and calorie consumption can be measured using the step and weight values. As such, the heart rate, step count, calorie consumption data can be transmitted to a smartphone application through a Bluetooth module and output, and can be output to an OLED for users who are not easy to access the smartphone. This healthcare monitoring system can be applied to various groups and technologies.

• Journal of Digital Convergence
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• v.12 no.7
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• pp.285-290
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• 2014

In these days the patient can be easy to see the treatment results at home without going directly to hospital. Despite the many advantages that the patient is got optimum service timely, the currently used personal healthcare devices have no compatibility because the manufacturer use the proprietary software and hardware protocols. For these issues, standardization is required between the set-top box and the individual healthcare devices. In this paper, we designed the healthcare set-top box possible to biometric data transmission by using a standard IEEE P11073 between the device and the set-top box. Because the set-top box using IEEE P11073 standardization can transfer data independently, we are expected to make it contribute significantly to the healthcare business.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.9
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• pp.811-824
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• 2020

The aim of this study is to explore the effect of injustice perception on work alienation and the mediating role played by the employee's cynicism between injustice perception and work alienation in the healthcare sector in Oman. By utilizing a simple random sampling technique, data were collected using a questionnaire consisting of 306 nurses working in private healthcare providing organizations in Oman. The collected data was then analyzed using AMOS program through the Structural Equation Modeling (SEM). The results of study show that the levels of perception of injustice and cynicism of nurses in the private healthcare centers were low, while the work alienation was found to be at moderate level in these healthcare organizations. The findings of the empirical study reveal that injustice perception and employee's cynicism significantly affect work alienation. The impact of injustice perception in creating employee's cynicism was also observed. The hypothesis that the mediating role played by employee's cynicism in injustice perception and work alienation relationship was partially supported. Moreover, injustice perception and cynicism directly affect work alienation, therefore, these hospitals should consider organizational policies and procedures to achieve equality and justice among nursing personnel, and to eliminate the factors that cause cynicism and work alienation.

• Health Policy and Management
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• v.28 no.3
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• pp.263-271
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• 2018

Health technology assessment (HTA) is defined as multidisciplinary policy analysis to look into the medical, economic, social, and ethical implications of the development, distribution, and use of health technology. Following the recent changes in the social environment, there are increasing needs to improve Korea's healthcare environment by, inter alia, assessing health technologies in an organized, timely manner in accordance with the government's strategies to ensure that citizens' medical expenses are kept at a stable level. Dedicated to HTA and research, the National Evidence-based Healthcare Collaborating Agency (NECA) analyzes and provides grounds on the clinical safety, efficacy, and economic feasibility of health technologies. HTA offers the most suitable grounds for decision making not only by healthcare professionals but also by policy makers and citizens as seen in a case in 2009 where research revealed that glucosamine lacked preventive and treatment effects for osteoarthritis and glucosamine was subsequently excluded from the National Health Insurance's benefit list to stop the insurance scheme from suffering financial losses and citizens from paying unnecessary medical expenses. For the development of HTA in Korea, the NECA will continue exerting itself to accomplish its mission of providing policy support by health technology reassessment, promoting the establishment and use of big data and HTA platforms for public interest, and developing a new value-based HTA system.

• Korean Journal of Occupational Health Nursing
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• v.23 no.4
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• pp.208-218
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• 2014

Purpose: The purpose of this study was to identify the factors influencing on practice of healthcare-associated infection control among clinical nurses. Methods: The subject of this study were 118 nurses who worked in medical surgical ward and ICU of 2 general hospital in Gwangju city. Data were collected with a questionnaire. Data were analysed using descriptive statistics, t-test, one-way ANOVA, Scheff$\acute{e}$ test, Pearson correlation and stepwise multiple regression analysis using SPSS/WIN 12.0. Results: The major findings of this study were as follow: There were significant positive correlation between knowledge, recognition, empowerment and practice of healthcare-associated infection control. The significant factors influencing practice of healthcare-associated infection control were recognition and empowerment, which explained 68.8% of the practice of healthcare-associated infection control. Conclusion: These results indicate that recognition on healthcare-associated infection control and empowerment among clinical nurses should be reinforcement via consistent education, administrative and organizational support at the level of hospital.

• Journal of Preventive Medicine and Public Health
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• v.56 no.6
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• pp.515-522
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• 2023

Objectives: The pandemic caused by coronavirus disease 2019 (COVID-19) has exerted an unprecedented impact on the health of populations worldwide. However, the adverse health consequences of the pandemic in terms of infection and mortality rates have varied across countries. In this study, we investigate whether COVID-19 mortality rates across a group of developed nations are associated with characteristics of their healthcare systems, beyond the differential policy responses in those countries. Methods: To achieve the study objective, we distinguished healthcare systems based on the extent of healthcare decommodification. Using available daily data from 2020, 2021, and 2022, we applied quantile regression with non-additive fixed effects to estimate mortality rates across quantiles. Our analysis began prior to vaccine development (in 2020) and continued after the vaccines were introduced (throughout 2021 and part of 2022). Results: The findings indicate that higher testing rates, coupled with more stringent containment and public health measures, had a significant negative impact on the death rate in both pre-vaccination and post-vaccination models. The data from the post-vaccination model demonstrate that higher vaccination rates were associated with significant decreases in fatalities. Additionally, our research indicates that countries with healthcare systems characterized by high and medium levels of decommodification experienced lower mortality rates than those with healthcare systems involving low decommodification. Conclusions: The results of this study indicate that stronger public health infrastructure and more inclusive social protections have mitigated the severity of the pandemic's adverse health impacts, more so than emergency containment measures and social restrictions.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.4
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• pp.881-902
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• 2024

Fast decision support systems and accurate diagnosis have become significant in the rapidly growing healthcare sector. As the number of disparate medical IoT devices connected to the human body rises, fast and interrelated healthcare data retrieval gets harder and harder. One of the most important requirements for the Healthcare Internet of Things (HIoT) is semantic interoperability. The state-of-the-art HIoT systems have problems with bandwidth and latency. An extension of cloud computing called fog computing not only solves the latency problem but also provides other benefits including resource mobility and on-demand scalability. The recommended approach helps to lower latency and network bandwidth consumption in a system that provides semantic interoperability in healthcare organizations. To evaluate the system's language processing performance, we simulated it in three different contexts. 1. Polysemy resolution system 2. System for hyponymy-hypernymy resolution with polysemy 3. System for resolving polysemy, hypernymy, hyponymy, meronymy, and holonymy. In comparison to the other two systems, the third system has lower latency and network usage. The proposed framework can reduce the computation overhead of heterogeneous healthcare data. The simulation results show that fog computing can reduce delay, network usage, and energy consumption.

• Journal of muscle and joint health
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• v.26 no.3
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• pp.241-250
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• 2019

Purpose: This study was conducted to identify influencing factors on the performance of healthcare-associated infection control and microbiological hand contamination among caregivers at a tertiary hospital. Methods: The participants of this study were 59 caregivers woring at a tertiary hospital. Data were collected from July 1 to 30, 2018. Data were analyzed using descriptive statistics, t-test, ANOVA, Scheffé test, Pearson's correlation coefficients and stepwise multiple regression by SPSS 23.0 Win program. Results: Multiple regression analysis revealed that factors influencing performance of healthcare-associated infection control were awareness (β=.63, p<.001) and the experience of infection-related education (β=-3.40, p=.042). Regression equations describing the performance of healthcare-related infection control were found to be appropriate (F=27.29, p<.001) and accounted for 68% of variance. Factors affecting the degree of microbiological hand contamination were work experience (β=-0.28, p=.026) and healthcare-related infection performance (β=-0.28, p=.029). A regression equation describing the microbiological hand contamination was appropriate (F=6.10, p=.004) and accounted for 42% of variance. Conclusion: The findings of this study suggest that it is necessary to increase performance of healthcare-associated infection control by caregivers. Also, educations for preventing healthcare-associated infection and guidelines for increasing compliance with healthcare-associated infection control are recommended to improve performance of healthcare-associated infection control.

• Journal of Information Technology Services
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• v.19 no.2
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• pp.23-35
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• 2020

The development of digital technology is changing the paradigm of the healthcare industry to preventive and consumer-oriented. The combination of the ICT industry and the bio-healthcare industry is emerging as a core industry in the era of the Fourth Industrial Revolution. The Korean government has also selected the bio-healthcare industry as one of the three key future development industries. In May, the government announced its bio-health industry innovation strategy and set a goal of 300,000 employees. Therefore, analyzing the effects of employment on the related industries of the digital bio-healthcare industry is very important for the establishment of future industrial and technology development policies. The research method restructures the integrated classification of 32 industries into 34, including the digital bio-healthcare industry, using the classification criteria of the government and professional institutions, and then reorganizes the digital bio-healthcare industry into eight industries classified as one industry group. The analysis data was taken from the Bank of Korea's 2019 data. Various trigger coefficients and ripple effects coefficients were rewritten using the analysis method of the Input-output Statistics. The analysis of the results compares the employment-induced effects of the digital bio-healthcare industry and the ripple effects of related industries in production, investment and value-added. In addition, in terms of investment effect, the effects of in-house and related industries were compared. It is hoped that the results of this study will be used to establish employment and industrial policies.

• Journal of Preventive Medicine and Public Health
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• v.52 no.6
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• pp.355-365
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• 2019

Objectives: In rural areas of Korea, where public transportation infrastructure is lacking and alternative systems are poor, the elderly experience inconveniences in using healthcare, although their need is high. This study aimed to analyze the association between the convenience of transportation and unmet healthcare needs among the rural elderly. Methods: The data used were collected in the 2016 Community Health Survey among rural elderly individuals aged 65 or older. Dependent variable was the unmet healthcare needs, explanatory variable was the convenience of transportation. The elderly were divided into 3 groups: with no driver in the household, with a driver, and the elderly individual was the driver (the self-driving group). Covariates were classified into predisposing, enabling, and need factors. They included gender, age, education, income, economic activity, household type, motor ability, subjective health level, number of chronic diseases, anxiety/depression, and pain/discomfort. The data were analyzed using logistic regression and stratification. Results: A significant association was found between the convenience of transportation and unmet healthcare needs. When examined unadjusted odds ratio of the group with a driver in the household, using the group with no driver as a reference, was 0.61 (95% confidence interval [CI], 0.54 to 0.68), while that of the self-driving group was 0.34 (95% CI, 0.30 to 0.38). The odds ratios adjusted for all factors were 0.69 (95% CI, 0.59 to 0.80) and 0.79 (95% CI, 0.67 to 0.91). Conclusions: We confirmed a significant association between inconvenient transportation and unmet healthcare needs among the rural elderly even after adjustment for existing known factors. This implies that policies aimed at improving healthcare accessibility must consider the means of transportation available.