• Journal of Biomedical Engineering Research
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• v.38 no.4
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• pp.205-210
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• 2017

The convergence healthcare industry in Korea has been stalled due to conflicts between stakeholders as well as a supplier-centered industry structure. This situation is caused by the structural contradiction in which the Korean industry has a prolonged conflict structure among stakeholders due to a strong regulation and an institutional inertia from the viewpoint of the sociotechnical system. Therefore, it is necessary to identify new system management plan that enhances social acceptability such as laws, customs and ideas while reducing conflicts between stakeholders. In this study, mainly adapting the stakeholder-oriented autopoiesis and focusing on publicness of healthcare, we propose the rationale and direction for policy making to harmonize various systems within the convergence healthcare industry.

• Korean Medical Education Review
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• v.22 no.2
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• pp.99-114
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• 2020

The rapid development of artificial intelligence (AI), including deep learning, has led to the development of technologies that may assist in the diagnosis and treatment of diseases, prediction of disease risk and prognosis, health index monitoring, drug development, and healthcare management and administration. However, in order for AI technology to improve the quality of medical care, technical problems and the efficacy of algorithms should be evaluated in real clinical environments rather than the environment in which algorithms are developed. Further consideration should be given to whether these models can improve the quality of medical care and clinical outcomes of patients. In addition, the development of regulatory systems to secure the safety of AI medical technology, the ethical and legal issues related to the proliferation of AI technology, and the impacts on the relationship with patients also need to be addressed. Systematic training of healthcare personnel is needed to enable adaption to the rapid changes in the healthcare environment. An overall review and revision of undergraduate medical curriculum is required to enable extraction of significant information from rapidly expanding medical information, data science literacy, empathy/compassion for patients, and communication among various healthcare providers. Specialized postgraduate AI education programs for each medical specialty are needed to develop proper utilization of AI models in clinical practice.

• Proceedings of the KIEE Conference
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• 2005.10b
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• pp.545-547
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• 2005

As information technology has been developed rapidly, there is growing online medicine service through forming as information technology and medicine information are amalgamated in the medical service field. That acquires real time biological information of patient through a communication network which could be applied into e-healthcare system for a diagnosis and treatment of patient. Because of these reasons, it is necessary for the e-healthcare system to develop. But,the facilities existing in the medical service field could not be used to an on line environment because of the limitation of the time and space. To solve the point of such issue, we propose an auto color analysis system that is a precise and quick to measure health states of user, and the device has the important merit that it is very low cost. Also, the hospital web database and the monitering webpage for a diagnosis have been made for an e-healthcare system.

• 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 Biomedical Engineering Research
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• v.29 no.5
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• pp.337-342
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• 2008

To date, many researchers have developed a variety of biosensors to detect the biomolecular interactions. Recently, electrochemical biosensors have been attracting great interest as one of key technologies in a ubiquitous healthcare (U-healthcare) system since they are highly sensitive and feasible to miniaturize. Here we overview the current electrochemical biosensors based on strip-type, nanowire/nanotube, field effect transistor (FET), and nanogap electrode.

• Journal of Nutrition and Health
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• v.55 no.6
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• pp.601-616
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• 2022

In the era of the fourth industrial revolution technology, the inclusion of personalized nutrition for healthcare (PNH), when establishing a healthcare platform to prevent chronic diseases such as obesity, diabetes, cerebrovascular and cardiovascular disease, pulmonary disease, and inflammatory diseases, enhances the national competitiveness of global healthcare markets. Furthermore, since the government experienced COVID-19 and the population dead cross in 2020, as well as numerous health problems due to an increasing super-aged Korean society, there is an urgent need to secure, develop, and utilize PNH-related technologies. Three conditions are essential for the development of PNH technologies. These include the establishment of causality between obesity genome (genotype) and prevalence (phenotype) in Koreans, validation of clinical intervention research, and securing PNH-utilization technology (i.e., algorithm development, artificial intelligence-based platform, direct-to-customer [DTC]-based PNH, etc.). Therefore, a national control tower is required to establish appropriate PNH infrastructure (basic and clinical research, cultivation of PNH-related experts, etc.). The post-corona era will be aggressive in sharing data knowledge and developing related technologies, and Korea needs to actively participate in the large-scale global healthcare markets. This review provides the importance of scientific evidence based on a huge dataset, which is the primary prerequisite for the DTC obesity gene-based PNH technologies to be competitive in the healthcare market. Furthermore, based on comparing domestic and internationally approved DTC obese genes and the current status of Korean obesity genome-based PNH research, we intend to provide a direction to PNH planners (individuals and industries) for establishing scientific PNH guidelines for the prevention of obesity.

• The Korean Society of Law and Medicine
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• v.10 no.1
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• pp.171-211
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• 2009

Because Korea has the excellent informational technology, it was expected to be able to improve the accessibility to healthcare and compete with other nations in excellence through u-Healthcare. But we can't complete the excellent u-Healthcare because of the law to be able to use only the tele-counselling between doctor to doctor or doctor to nurse. First of all, we must complete the law to be able to use the improved u-Health containing of telemedicine between doctor to patient. Though other factors, the procurement of safe IT, the credibility to healthcare service provider containing of nutritionist and occupational therapist etc. are prepared for erecting u-Healthcare, we can get the final and decisive u-Health policy only by means of Law for supporting u-Healthcare's Activation. The important sections of Law for supporting u-Healthcare's Activation are as follows. Sec. 4 The Minister for Health, Welfare and Family Affairs and the dean of associated administrative division have to erect the combined plan for u-Healthcare's Activation. Sec. 11 Government and local autonomous entity can support the facility and equipment to be necessitated for using u-Healthcare to improve the medical accessibility of person in the region with poor medicine. Sec. 13 Doctor can support other doctor's medical action through IT and if there are not medical risk, doctor can give medical act directly to the special patients. Sec. 21 If pharmaceuticals is necessitated in u-Healthcare, remote doctor has to send the patient the electronic prescription and the pharmaceutist to receive the electronic prescription has to delivery the pharmaceuticals in accordance with patient's demand.

• Knowledge Management Research
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• v.19 no.4
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• pp.187-201
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• 2018

This paper explores the potential of Blockchain technology in enabling a panacea for health equity. Since Satoshi Nakamoto first described Blockchain technology in 2008 pseudonymous paper, that distributed ledger system is empowered and ranging from finance to law to another sector and beyond. Also impacting healthcare sector and life science. In other words, there are many usage cases being researched in healthcare and Blockchain has shown its considerable special side in recent years. But this paper aims to the distributed ledger that is the special side of Blockchain technology is potentially can panacea for some global health equity issues such as patient data, counterfeit drug and hospital payment management.

• Journal of Digital Convergence
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• v.16 no.9
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• pp.229-237
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• 2018

As IoT and AI have recently developed, interest in digital healthcare is increasing. Therefore, this study aims to identify technology trends through a patent analysis on digital healthcare and present future promising areas by analyzing domestic and foreign technology competitiveness and keywords. The detailed technologies to be analyzed were designated as Health Information Measurement Technology, Healthcare Platform Technology and Healthcare Remote Service Technology, and 61,166 patents were analyzed to identify the patent trends of the world's major patent offices and major patent applications. In addition, the analysis of the technological competitiveness of each detailed technology and Korea's technological competitiveness based on its patent activity, the rate of major market securing, and the uses of the patents showed that Korea's technological competitiveness was lower than global technology. In addition, the key keyword analysis showed that the core promising areas of digital healthcare were expected to require a focused strategy for fostering health care platform technologies in Korea.

• Korean Journal of Adult Nursing
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• v.29 no.1
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• pp.22-31
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• 2017

Purpose: The purposes of this secondary analysis study was to examine prevalence, risk factors and unmet healthcare needs among adults with hypertension. Methods: A sample of 3,386 adults over the age of 40 with hypertension were drawn from the Korea Health Panel Study (2013). Using SPSS 22.0 version, descriptive statistics including frequency, percentage, chi-square and logistic regression were performed. Results: Results showed that 18.9% of the sample reported unmet healthcare needs with the most frequently cited one was financial burdens (43.2%). The reported experiences of unmet healthcare needs differed by gender, marital status, vision or hearing impairment, memory problem, impaired mobility, subjective health status, total family income, depressive episode and the difficulty in making decisions. The sample participants were more likely to report unmet healthcare if they had vision impairment, low income and perception that their health status as moderate to poor. Those without vision impairment were less likely to report unmet healthcare needs. Conclusion: The identified risk factors of unmet healthcare needs should be addressed which would enhance access both to health care and to resolution of unmet healthcare needs. Since visual ability seems to impact perception of unmet healthcare needs, it may be useful to find ways to address this factor.