• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.154-155
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• 2013

This paper presents a user authentication scheme for healthcare application using wireless sensor networks, where wireless sensors are used for patients monitoring. These medical sensors' sense the patient body data and transmit it to the professionals. Since, the data of an individual are highly vulnerable; it must ensures that patients medical vital signs are secure, and are not exposed to an unauthorized person. In this regards, we propose a user authentication scheme for healthcare application using medical sensor networks. The proposed scheme includes: a novel two-factor user authentication, where the healthcare professionals are authenticated before access the patient's body data; a secure session key is establish between the patient sensor node and the professional at the end of user authentication. Furthermore, the analysis shows that the proposed scheme is safeguard to various practical attacks and achieves efficiency at low computation cost.

• International journal of advanced smart convergence
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• v.8 no.2
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• pp.204-210
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• 2019

Mobile Crowd Computing is one of the most efficient and effective way to collect the Electronic health records and they are very intelligent in processing them. Mobile Crowd Computing can handle, analyze and process the huge volumes of Electronic Health Records (EHR) from the high-performance Cloud Environment. Electronic Health Records are very sensitive, so they need to be secured, authenticated and processed efficiently. However, security, privacy and authentication of Electronic health records(EHR) and Patient health records(PHR) in the Mobile Crowd Computing Environment have become a critical issue that restricts many healthcare services from using Crowd Computing services .Our proposed Efficient Multi-layer Encryption Framework(MLEF) applies a set of multiple security Algorithms to provide access control over integrity, confidentiality, privacy and authentication with cost efficient to the Electronic health records(HER)and Patient health records(PHR). Our system provides the efficient way to create an environment that is capable of capturing, storing, searching, sharing, analyzing and authenticating electronic healthcare records efficiently to provide right intervention to the right patient at the right time in the Mobile Crowd Computing Environment.

• Journal of IKEEE
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• v.25 no.1
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• pp.212-217
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• 2021

Premature contraction arrhythmia is the most common disease among arrhythmia and it may cause serious situations such as ventricular fibrillation and ventricular tachycardia. Most of arrhythmia clasification methods have been developed with the primary objective of the high detection performance without taking into account the computational complexity. Also, personalized difference of ECG signal exist, performance degradation occurs because of carrying out diagnosis by general classification rule. Therefore it is necessary to design efficient method that classifies arrhythmia by analyzing the persons's physical condition and decreases computational cost by accurately detecting minimal feature point based on only QRS features. We propose method for personalized specific classification of premature contraction arrhythmia based on QRS features in smart healthcare environments. For this purpose, we detected R wave through the preprocessing method and SOM and selected abnormal signal sets.. Also, we developed algorithm to classify premature contraction arrhythmia using QRS pattern, RR interval, threshold for amplitude of R wave. The performance of R wave detection, Premature ventricular contraction classification is evaluated by using of MIT-BIH arrhythmia database that included over 30 PVC(Premature Ventricular Contraction) and PAC(Premature Atrial Contraction). The achieved scores indicate the average of 98.24% in R wave detection and the rate of 97.31% in Premature ventricular contraction classification.

• Journal of dental hygiene science
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• v.9 no.3
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• pp.345-351
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• 2009

The aim of this study is understanding the relationship between degree of knowledge and actual condition on oral health care to raise people's attention on oral health care and to develop a oral health care program and respondents are 121 diabetes patients. The conclusion of this study is as follows; 1. In terms of degree of Knowledge, women have better knowledge on dental healthcare than men. People aged between 20 and 50 have relatively good knowledge and the longer patients fight against diabetes the more they know about oral healthcare. 2. In actual oral healthcare condition, only 21.5% of patients use rolling method. Patients who have good knowledge have relatively high frequency of dental treatment. Most patients see dentists for their oral healthcare consultation. 3. All the respondent group hesitate to have dental treatment because of expensive cost. Surprisingly. most patients with good knowledge answers that diabetes has nothing to do with dental disease. 4. In terms of degree of knowledge and having oral healthcare program, diabetes patients who are having programs has better knowledge. 5. Respondent group which has middle level of knowledge in oral healthcare give high marks on oral healthcare but does not show statistical significance.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.3
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• pp.418-427
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• 2017

The purpose of this study is to investigate the factors influencing the intention to use mobile healthcare services based on smartphones. Data collection was conducted from March 10, 2014 to April 8, 2005. The collected data were analyzed by SPSS WIN 23.0 and AMOS 18.0 using Path analysis and Structural equation modeling analysis. The results showed that service quality and innovativeness, which are external variables, had a statistically significant effect on perceived usefulness, and these two factors had a positive effect on the intention to use mobile healthcare services. Usefulness also has a significant effect on perceived usefulness, and content characteristics and cost rationality have a significant effect on usability. The usefulness of the service also directly affects the intention to use mobile health care services, and various factors affect their effective use. In response to the recent rise in medical expenses, mobile healthcare using smartphones has emerged and there is a need to develop awareness of the various attempts by companies to develop such apps. The government should also make effort to improve accessibility to healthcare services by introducing suitable policies. It is expected that future studies will be continuously conducted to confirm the development of differentiated services for mobile healthcare subjects and their intention to use them.

• Journal of Convergence for Information Technology
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• v.7 no.4
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• pp.83-89
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• 2017

This study aims to investigate the impact of a mobile-based human coaching healthcare service provided for diabetic patients by nurses on their self-management ability. This study collected data from 311 persons who were diagnosed with diabetes from all over the country, and the collected data were analyzed through SPSS Win 23. The results of the study are summarized as follows: First, it was found that the utilization of a glucose meter by the provision of the mobile-based human coaching healthcare service was men group, and there was a statistically significant difference (${\chi}^2=6.059$, p= .048*). Second, there was a positive correlation in the utilization between the glucose meter and an activity tracker band by the provision of the mobile-based human coaching healthcare service, which was statistically significant (r=.660, p< .001). Third, as a result of checking the changes of the utilization of the glucose meter by the provision of the mobile-based human coaching healthcare service, it was maintained between 79% and 41% from Week 1 through 49. In conclusion, this study partially confirmed that the mobile-based human coaching health service was easily accessible and cost-effective in enhancing the participants'self-healthcare ability.

• Korea Journal of Hospital Management
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• v.19 no.4
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• pp.1-8
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• 2014

The purpose of this study is to analyze the performance difference between public and private hospitals. It is believed that private hospitals may have a better performance compared to public hospitals. The study support the hypothesis. By analyzing 425 acute-care hospitals in Korea, this research shows a less performance of public hospitals compared to private hospitals. Higher labor and administrative cost by public hospitals may account for the difference, and it means they are not effective at cost control. Managers in public hospitals, therefore, should pay attention on cost-reducing issues to regain managerial efficiency of organizations.

• Health Policy and Management
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• v.22 no.1
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• pp.109-128
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• 2012

The purpose of this study is to analyze the performance difference between multi-hospitals and free-standing hospitals. Scholars in industrial economics argue that, due to economies of scale and integration, multi-hospital system may have a better performance compared to freestanding hospitals. The study overturned the hypothesis based on a theory. By analyzing 425 acute-care hospitals in Korea, this research shows that multi-hospital systems and market factors, which have been perceived to be strengths to hospitals, are negatively related to hospitals' financial performance. Specifically, the results showed a better performance of freestanding hospitals compared to multi-hospital systems. Higher labor and administrative cost by multi-hospital system may be the reason for the difference, and it means they are not more effective at cost control. Managers in multi-hospital system, therefore, should pay attention on cost-reducing issues to regain managerial efficiency of organizations.

• Journal of Home Health Care Nursing
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• v.20 no.2
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• pp.141-151
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• 2013

Purpose: The purpose of this study was to examine the economic effectiveness of by conducting a literature review of published articles, masters theses, and doctoral dissertations. Method: Prior to the literature review, inclusion-exclusion criteria were established. We then reviewed 1,029 CINAHL, MEDLINE, and Cochrane DB papers, and 153 RISS papers collected between Results: A total of 12 studies met the inclusion-exclusion criteria.-effectiveness: 6 cost-effectiveness studies, 1 cost-utility studies, and 5 cost-benefit studies. Each of the 12 reviewed studies concluded that home care nursing had greater economic benefits than other compared healthcare services. Conclusion: Home care nursing has significant economic benefits in multi health care service settings and for various patient groups. Therefore these results will be used a critical evidence for the development of economically effective home based health care systems for future policy making.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.179-187
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• 2022

The project performances can be measured in terms of meeting the project schedule, budget, and conformance to functional and technical specifications. Numerous studies have been conducted to examine the causes and effects of change orders for both vertical and horizontal construction, respectively. However, these studies mainly focus on a single project type, so this paper examines the impact of change order for cost growth and schedule overruns using four different building types to close the gap in the change order research area. A total of 211 building projects are collected from four building types: healthcare, residential, office, and education. Statistical analyses using ANOVA tests and linear regression models are used to examine the created metric $CO/day on the cost and schedule impacts. The results found that mean $CO/day values were not statistically different among building types, and that the sum of change orders is a statistically significant predictor of $CO/day. The results will help project stakeholders mitigate the negative change orders effects can be a challenge for project managers and researchers alike.