Journal of the Korea Society of Computer and Information
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v.25
no.4
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pp.113-121
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2020
With the rapid development of information and communication technology (ICT), various sensors are being embedded in wearable devices. Consequently, these devices can continuously collect data including health data from individuals. The collected health data can be used not only for healthcare services but also for analyzing an individual's lifestyle by combining with other external data. This helps in making an individual's life more convenient and healthier. However, collecting health data may lead to privacy issues since the data is personal, and can reveal sensitive insights about the individual. Thus, in this paper, we present a method to collect an individual's health data from a smart band in a privacy-preserving manner. We leverage the local differential privacy to achieve our goal. Additionally, we propose a way to find feature points from health data. This allows for an effective trade-off between the degree of privacy and accuracy. We carry out experiments to demonstrate the effectiveness of our proposed approach and the results show that, with the proposed method, the error rate can be reduced upto 77%.
In this paper, we analyzed the latest research trends, challenges, and potential applications of next-generation solar cell materials in various industrial fields. In addition, future prospects and possibilities of Smart Textile Hybrid Energy Harvesting Devices that will supply electricity by combining with wearable IoT devices are presented. The hybrid textile energy harvesting device fused next-generation solar cells with tribo-piezoelectric devices will develop into new 'Convergence Integrated Smart Wear' by combining the material itself with wearable IoT devices in the era of the 4th industrial revolution. The next-generation nanotechnology and devices proposed in this paper will be applied to the field of smart textile with an energy harvesting function. And we hope it will be a paradigm shift that evolves into creative products which provide AI services such as medical & healthcare by convergence with the future smart wear industry.
Background: Korea's health screening program has been faced the need for changes as the population and diseases structure are changing. In addition to Korea, many countries operate state-led health check-up programs to improve the health level of the people, and the operating methods of the program appear in various forms according to each country's health insurance system. This study examines other state-led health screening programs and proposes a direction for the development of Korea's health screening program. Methods: The study was conducted using the literature review method, and the "country" was set as a unit for the case analysis. The operating method of the health screening programs and the financial resources were compared according to the health insurance system. Five countries were selected as Korea, the United States, the United Kingdom, Japan, and Taiwan. Results: The analyzed countries mainly operate the health screening program as a management method for chronic diseases, but there were differences in the operating method, financing, and targeted subjects and examination items. In most countries, a risk assessment was performed prior to the examination (screening), and the subjects who needed the examination were first selected, and a follow-up management service was provided in accordance with the risk each individual exposed. Conclusion: Rather than applying the same screening method to populations with different risk levels, a health screening program will be constructed in consideration of the individual's health level and exposure risk, and the healthcare delivery system will be reorganized so that screening and treatment services can be linked.
Background: This study examined the effect of having a usual source of care on the degree of patient-centered communication among persons with disability. The role of the usual source of care has been emphasized to improve patient experience, especially for patients with complex health conditions. Methods: This study used the 2017-2018 Korean Health Panel data, and the final study observations were 22,475 (20,806 people without disability and 1,669 people with disability). We applied generalized estimating equation model to show the effect of having a usual source of care on patient-centered communication, and subgroup analysis considering the types and severity of disabilities. Results: Persons who have disabilities, compared with ones without it, significantly had more usual sources of care (32.4% vs. 24.6%). By type of disability, persons with mental (51.4%), internal organ (43.8%), visual (37%), and physical disabilities (31.6%) had more usual sources of care than hearing/speech (26.6%), and developmental disabilities (18.6%). The average score of patient-centered communication was higher among who had a usual sources of care (3.2 vs. 2.7), and the regression analysis showed that having a usual sources of care was positively associated with higher patient-centered communication score (𝛽=0.476, p<0.05). However, the positive effects of usual sources of care was not observed among persons with severe hearing/speech, developmental, and mental disabilities. Conclusion: This study showed that role of patient-centered communication was limited in persons with severe hearing/speech disabilities, developmental, and mental disabilities. The education programs and supports are needed to improve communication skills between medical staff and persons with specific types of disabilities.
The Journal of Korean Society for School & Community Health Education
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v.19
no.3
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pp.109-121
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2018
Background & objectives: Life style modification reduces the health risks of young people and improves their health status. Physical activity is known the effective factor to reduce health risks and health problems. This study performed to analyze health promotion behaviors related to physical activity among first-year students of university. Methods: To examine the association with physical activity and health promotion practices, health survey was conducted with 3,806 students who were first-year students in a university by self-reported questionnaire from February 26 to March 10, 2015. Multiple logistic regression analysis was performed to identify the difference of health promotion behaviors by physical activities. Results: 51.4% of the first-year student was regular exercisers who had practiced on regular walking exercise or regular strength exercise or regular aerobic exercise for a week. 87.8% of students exercised one or more times within the last one week. On the other hand, 12.2% of them did not exercise. In multiple logistic regression models, it remained significantly the difference of regular exercise by gender, subjective health status, sleeping time per one day, BMI, drinking behavior, and eating habit (p<0.05, p<0.01, p<0.001). Also it remained significantly the difference by physical activity type, such as walking, strengthen, and aerobic exercise (p<0.05, p<0.01, p<0.001). Conclusion: To help the achievement of academic goal, it should build physical activity policies and comprehensive health promotion programs to reduce health risk factors of university students. Comprehensive university health services and customized program for university students could help to make the best of their health. In future, to enhance physical activity practice, it needs to develop various tailed messages and smart healthcare service using health information technology (IT) on campus.
Kim, Do Gyun;Choi, Jin Young;Kim, Kiyoung;Oh, Jintae
Journal of Korean Society of Industrial and Systems Engineering
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v.41
no.4
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pp.179-188
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2018
Recently, blockchain technology has been recognized as one of the most important issues for the 4th Industrial Revolution which can be represented by Artificial Intelligence and Internet of Things. Cryptocurrency, named Bitcoin, was the first successful implementation of blockchain, and it triggered the emergence of various cryptocurrencies. In addition, blockchain technology has been applied to various applications such as finance, healthcare, manufacturing, logistics as well as public services. Distributed consensus algorithm is an essential component in blockchain, and it enables all nodes belonging to blockchain network to make an agreement, which means all nodes have the same information. For example, Bitcoin uses a consensus algorithm called Proof-of-Work (PoW) that gives possession of block generation based on the computational volume committed by nodes. However, energy consumption for block generation in PoW has drastically increased due to the growth of computational performance to prove the possession of block. Although many other distributed consensus algorithms including Proof-of-Stake are suggested, they have their own advantages and limitations, and new research works should be proposed to overcome these limitations. For doing this, above all things, we need to establish an evaluation method existing distributed consensus algorithms. Based on this motivation, in this work, we suggest and analyze assessment items by classifying them as efficiency and safety perspectives for investigating existing distributed consensus algorithms. Furthermore, we suggest new assessment criteria and their implementation methods, which can be used for a baseline for improving performance of existing distributed consensus algorithms and designing new consensus algorithm in future.
Purposes: The hospitals needs to generate a minimum profit, in order to perform its own role such as providing high-quality medical services. The demand for hospital management is increasing, as the social demands are diversified and the financial transparency is emphasized. The purpose of this study is to compare hospitals management based on Dupont Identity, by various hospital classification. Methodology: This study is based on '2016 Statistics for Hospital Management' provided by the Korea Health Industry Development Institute. The hospitals were classified according to the scope of care, the type of establishment, the location, and the number of beds. We analyzed the general and financial characteristics of over 337 hospitals using the method of Dupont Identity. Findings: Net profit margin (PM) has the biggest impact on return of equity (ROE). By the number of beds, general hospital with 160-299 beds have the highest return on equity (ROE). By location, hospitals in local municipalities have higher return on equity than hospitals in urban municipalities. According to the type of establishment, public hospitals have lower business performance, and although they invest more than private hospitals. Practical Implications: This study can inspire interest and provide understanding in hospital management and financial structure, by analyzing through an intuitive indicator named Dupont identity. It is possible to provide basic data for hospital management methods for each financial elements, in order to increase the profitability of hospitals.
Modern society is undergoing nutritional imbalance according to the diet as the number of one person increases. This is increasing the incidence of chronic diseases such as gastrointestinal diseases and digestive diseases. This study suggests the prediction of dietary knowledge using multiple regression analysis for preventing chronic stomach diseases. The proposed method manages user's stomach diseases and dietary nutrition through the prediction of nutrition knowledge. It collects user's PHR through smart device and integrates in the health platform. The integrated data analyzes the dietary and activity of the user through multiple regression analysis. It predicts the required nutrients and provides services to users through applications. Therefore, it suggests recommended dietary components and consumed calories, appropriate dietary components based on the user's basal metabolism, and gastrointestinal levels. With the personalized health management, modern people can manage gastrointestinal diseases through a balanced diet.
Objectives: To analyze whether there are perceptual differences in internet oral health information use between ordinary people who underwent dental treatments and dental hygienists. Second, the study aimed to analyze related issues, and, third, to find a developmental direction to provide fundamental information for developing patient-customized websites to improve dental services to suit contemporary needs. Methods: From September 1 to September 30, 2018, a questionnaire survey was conducted, with 367 participants (209 dental hygienists and 149 patients) in order to analyze their objective agreement, subjective congruence, and accuracy. As a study tool, the questionnaire consisted of 11 items about the perception of internet oral health information use and 11 on the estimated perceptions of both groups in order to compare their perceptions and estimates of each other. Results: Objective agreement was analyzed and, as a result, dental hygienists and patients were found to demonstrate similar results in terms of their perceptions of internet oral health information use. With regard to subjective agreement, the study subjects either underestimated or overestimated internet oral health information use more than they perceived. In terms of accuracy, dental hygienists and patients had different perceptions regarding internet oral health information use. Therefore, accuracy was somewhat low. Conclusions: In order to improve individuals' self-care ability and increase therapeutic instructional adherence for oral healthcare, it is necessary to apply internet oral health information properly to each patient's individual oral state.
Purposes : The purpose of this study is to analyze empirically the consturct development of brand trust in dental clinic service and its influence on both satisfaction and brand loyalty of clinic users in Seoul area. Methodology : To test the hypotheses, the structured instrument was employed to question to patients and their guardians who had used dental clinics in the metropolitan area. 207 cases were analyzed with structural equation method through SPSS 18.0 and AMOS 22.0, and findings of the test as follows. Findings : Firstly, both functional and associative images had a positive impact on the brand trust. Especially we found the influence of functional images was greater than that of the brands' associative images. Secondly, the satisfaction of dental clinic users had greater positive influence on the clinics with greater trust. Thirdly, the higher the satisfaction of health service consumers, the more positive effect on brand loyalty. This relationship between the satisfaction of dental clinic users and brand loyalty match the findings of previous studies on relations of similar variables. Practical Implications : This study shows that with greater satisfaction, the referral rate and the revisit rate of users would increase. This implies that dental clinics need to take appropriate actions to build brand trust with advertising and/or PR strategies for a good brand image. It would be necessary to research further expected variables that influence users' brand loyalty in the service, such as the dentists' level of expertise, their relationship level with customers, the quality of dental services and et al..
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