• International Journal of Computer Science & Network Security
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• v.21 no.4
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• pp.313-324
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• 2021

This study empirically investigates the factors influencing the intention to accept mobile technology in Saudi healthcare service delivery using the extended unified theory of acceptance and use of technology model (UTAUT) with perceived reliability and price value. Accordingly, a conceptual model combining behavioral constructs with those linked to the technology acceptance model is developed. This model aims to identify factors that predict patients' acceptance of mobile technology healthcare service delivery. The developed model is examined using responses obtained from a survey on 545 participants receiving healthcare services in Saudi Arabia. Thus, we have conceptualized the developed model and validated seven hypotheses involving key constructs. Results suggest that performance expectancy, effort expectancy, social influence, facilitating conditions, price value, and perceived reliability are direct predictors of user behavior to accept mobile technology in healthcare service delivery. The results provide empirical evidence to the literature on the effect of facilitating conditions and effort expectancy on mobile health (mHealth) adoption. The results show that the COVID-19 pandemic has significantly increased the adoption of mHealth services in Saudi Arabia.

• Journal of The Korea Institute of Healthcare Architecture
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• v.8 no.1
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• pp.37-43
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• 2002

Healthcare systems around the world are struggling to cope with the pressures of rising costs, aging populations, and decisions about how to allocate and pay for seemingly limitless advances in high-technology medical procedures. Today healthcare environments are also changing greatly in Korea. The United States healthcare is being reinvented by reducing the costs and bringing service close to the consumer, and multi-strategies are being used to strive in the market driven shift. This study is aiming to get the lesson and direction of the future healthcare facilities in Korea by analysing the past and current trends of healthcare facilities in U.S..

• The Journal of the Korea Contents Association
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• v.13 no.12
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• pp.379-388
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• 2013

u-Healthcare integration between ICT and healthcare service is able to utilize effectively for people's healthcare anywhere and any time. The purpose of this study is to explore the perception and influence factors on intention to use u-Healthcare service of physicians and staffs working for medical institutions. Ninety eight(98) valid cases have been collected for this study. It is also analysed by SPSS 18.0 and SmartPLS 2.0M3. Empirical findings provide important insights as follows: firstly, performance expectation, effort expectation and social influence positively influence intention to use u-Healthcare service; secondly, perceived risk negatively influences usage intention, and finally, performance expectation, effort expectation and perceived risk are moderated by voluntariness.

• The KIPS Transactions:PartD
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• v.18D no.3
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• pp.185-196
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• 2011

As the Korean Ministry for Health and Welfare announced the likelihood to revise the legislative limit for healthcare telemedicine, u-Healthcare service through IPTV emerged among these business models. However, in spite of many advantages such as treatment improvement, service quality enhancement, and treatment usefulness, most medical trials grafted with IT have not accepted yet. This points out not only that law and institutional environment has not prepared, but also that policy maker neglect the preparation of the strategies through the study on user acceptance. The purpose of this study is to verify the relationship for IPTV quality based Healthcare on satisfaction and intention to use. The results identify that IPTV technology quality for its convenience, contents quality for its completeness, and the quality for healthcare services give significant effect to satisfaction. In addition the study indicates that overall qualities of IPTV technology, contents, and healthcare service, significantly impact on satisfaction respectively and that the satisfaction may lead to the intention to use of this service.

• Journal of Digital Convergence
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• v.10 no.2
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• pp.153-159
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• 2012

Now a days, U-healthcare comes into the spotlight as a new business model which combines RFID technology with medical service in the well-being era and IT popularization. U-healthcare service needs a method that can deals with hand-writing, overlap data, forgery and falsification of data, difference between information version that happen in medical process because of graft between RFID technology and u-healthcare. This paper proposes RFID based user certification protocol to protect user's privacy who gets medical service through U-healthcare. In the protocol, secret information of patient does the XOR with the secret key that is created in the hospital to reconsider the stability of security system of U-healthcare and user's data forgery and falsification and privacy and then saves it in the secret key field of patient in DB table. Also, it informs the case of illegal access to certification server and make it approved the access of u-healthcare service by differentiating whether u-healthcare is illegal or not.

• 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 Korean Institute of Industrial Engineers
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• v.41 no.6
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• pp.530-539
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• 2015

A business model (BM) can be developed based on a business model framework (BMF) consisting of key components such as value proposition, customers, and resources. To systematically generate and analyze emerging BMs such as healthcare BM, an integration of diverse BMF components is needed. The present study is to establish a comprehensive BMF and evaluate its applicability to healthcare BMs. Based on a review of eight BMF studies, ten BMF components were identified and classified into five major components (value proposition, resources, organizing model, customers, and revenue model) and five minor components (technology, service platform, delivery, competitive strategy, and growth/exit) by analyses of frequency and functional importance. Lastly, the BMs of three emerging healthcare companies (WellDoc, Inc., CFW Shops, and Aravind Eye Care System) were analyzed and compared in terms of the proposed BMF components. The comprehensive BMF components presented in the study can be of help for developing new BMs and analyzing the strengths and weaknesses of BMs.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.1
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• pp.35-57
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• 2021

Fog computing aims to provide the solution of bandwidth, network latency and energy consumption problems of cloud computing. Likewise, management of data generated by healthcare IoT devices is one of the significant applications of fog computing. Huge amount of data is being generated by healthcare IoT devices and such types of data is required to be managed efficiently, with low latency, without failure, and with minimum energy consumption and low cost. Failures of task or node can cause more latency, maximum energy consumption and high cost. Thus, a failure free, cost efficient, and energy aware management and scheduling scheme for data generated by healthcare IoT devices not only improves the performance of the system but also saves the precious lives of patients because of due to minimum latency and provision of fault tolerance. Therefore, to address all such challenges with regard to data management and fault tolerance, we have presented a Fault Tolerant Data management (FTDM) scheme for healthcare IoT in fog computing. In FTDM, the data generated by healthcare IoT devices is efficiently organized and managed through well-defined components and steps. A two way fault-tolerant mechanism i.e., task-based fault-tolerance and node-based fault-tolerance, is provided in FTDM through which failure of tasks and nodes are managed. The paper considers energy consumption, execution cost, network usage, latency, and execution time as performance evaluation parameters. The simulation results show significantly improvements which are performed using iFogSim. Further, the simulation results show that the proposed FTDM strategy reduces energy consumption 3.97%, execution cost 5.09%, network usage 25.88%, latency 44.15% and execution time 48.89% as compared with existing Greedy Knapsack Scheduling (GKS) strategy. Moreover, it is worthwhile to mention that sometimes the patients are required to be treated remotely due to non-availability of facilities or due to some infectious diseases such as COVID-19. Thus, in such circumstances, the proposed strategy is significantly efficient.

• Journal of The Korea Institute of Healthcare Architecture
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• v.11 no.3
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• pp.61-73
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• 2005

Recently, Korea is becoming a world-leading country in various industrial fields with it's advanced information technology. In the 20th century, Korea went through a chaotic period from Japanese colonization via the Korean war to IMF because of lack of globalization. Now, we have a mission and the abilities to lead world-wide trends in entire fields of society. This study, comparing the modern healthcare planning trends in Korea, China, Japan and the United States, proposes the Northeast Asia Healthcare Network Plan which Korea leads. United States is the starter of healthcare network, but it's location is too far from Asia and IT is also inferior to the Korean. Japan seems to have no concerns with this healthcare network. And the current China is a rapid growing period and is too much for building its domestic healthcare infra-structure. they still have no concerns with re-structuring of healthcare system and facilities. Because of these reasons, I think Korea should have to lead Northeast Asia Healthcare network.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.30 no.4
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• pp.21-29
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• 2007

We derive priority decision making on healthcare service technology standardization in the home network through the decision support process with industry professionals. We configured a research group with 4 industrial areas including Industry, Academic, Research Institution and Medical Institution. And we also applied AHP methodology for the priority decision making. The research group decides an evaluation criteria which are consisted of marketability, technology, ripple effect, strategy for national policies in order to make a priority for healthcare service on a home network. And it is also decided 7 fields and 24 sub-fields, technically. In order to make a priority for the standardization, we use an AHP methodology, that is more objective and feasible, as a decision tool. After two-phase survey that consists of paper survey and face to face meeting, we get a conclusion that home healthcare content is at the top and then wireless home network follows it.