• 한국약용작물학회:학술대회논문집
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• 2010.10a
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• pp.521-522
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• 2010

• Health Policy and Management
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• v.30 no.3
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• pp.270-276
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• 2020

Entering the fourth industrial revolution era, health technology is rapidly developing and the people's needs for medical services are gradually increasing. Establishing a life cycle management of health technology has emerged as a new policy agenda to cope with these changes. However, the management of health technology have been conducted without continuity and with several problems pointed out. Therefore, we suggest the reform agendas by stages to establish system for a life cycle management of health technology in the fourth industrial revolution era as follows. In the stage of development, it is important not only to provide research funding, but also consulting by professional about whole cycle of health technologies. In the phase of market entry, there are needs for enhance the system that would expand the early adoption for innovative technology and increase its effectiveness. After the spread of health technology to clinical settings, a reassessment and post management system should be established that have an institutional framework with strong price adjustment and exit mechanism. Furthermore, we hope that discussions will be brisk in macro perspective on the balancing of development in healthcare industry, health of people and national health insurance finance.

• Safety and Health at Work
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• v.6 no.3
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• pp.159-173
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• 2015

The hand coordinate systems for measuring vibration exposures and biodynamic responses have been standardized, but they are not actually used in many studies. This contradicts the purpose of the standardization. The objectives of this study were to identify the major sources of this problem, and to help define or identify better coordinate systems for the standardization. This study systematically reviewed the principles and definition methods, and evaluated typical hand coordinate systems. This study confirms that, as accelerometers remain the major technology for vibration measurement, it is reasonable to standardize two types of coordinate systems: a tool-based basicentric (BC) system and an anatomically based biodynamic (BD) system. However, these coordinate systems are not well defined in the current standard. Definition of the standard BC system is confusing, and it can be interpreted differently; as a result, it has been inconsistently applied in various standards and studies. The standard hand BD system is defined using the orientation of the third metacarpal bone. It is neither convenient nor defined based on important biological or biodynamic features. This explains why it is rarely used in practice. To resolve these inconsistencies and deficiencies, we proposed a revised method for defining the realistic handle BC system and an alternative method for defining the hand BD system. A fingertip-based BD system for measuring the principal grip force is also proposed based on an important feature of the grip force confirmed in this study.

• Genomics & Informatics
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• v.9 no.3
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• pp.121-126
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• 2011

Osteoarthritis (OA) is the most common degenerative joint disorder in the elderly population. To identify OA-associated genetic variants and candidate genes, we conducted a genome-wide association study (GWAS). A total 3,793 samples (476 cases: wrist + knee and 3317 controls) from a community-based epidemiological study were genotyped using the Affymetrix SNP 5.0. An intronic SNP (rs4789934) in the TIMP2 (tissue inhibitor of metalloproteinase-2) showed the most significance with OA (odd ratio [OR] = 2.06, 95% confidence interval [CI] = 1.52-2.81, p = $4.01{\times}10^{-6}$). Furthermore, a poly-morphism (rs1352677) in the NKAIN2 ($Na^+/K^+$ transporting ATPase interacting 2) was suggestively associated with OA (OR = 1.43, CI = 1.22-1.66, p = $7.01{\times}10^{-6}$). The present study provides new insights into the identification of genetic predisposing factors for OA.

• Journal of muscle and joint health
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• v.28 no.3
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• pp.252-262
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• 2021

Purpose: To define the concept of digital health literacy and identify its attributes. Methods: Walker and Avant's approach was employed for concept analysis. Attributes, antecedents, consequences, and the definition of digital health literacy were derived from a review of 28 studies. Results: Digital health literacy was identified to possess the following five attributes: health information seeking, health information processing, health information communication, health-related knowledge translation, and utilizing digital technology. Basic literacy skills, health concerns, motivation to use technology for health information, and access to digital technologies were all antecedents of the concept. The consequences of the concept were health behaviors, patient engagement, health status, and quality of life. Digital health literacy is the ability to seek relevant health information utilizing digital technology to solve health problems and improve quality of life. Furthermore, it refers to the translation of health-related knowledge obtained through health information processing-finding, understanding, and evaluating health information and health information communication-into the context in which individual and social factors interact. Conclusion: This study presented a new definition of digital health literacy that goes beyond existing internet-based eHealth literacy, by incorporating the context of emerging digital technologies. This proposed definition can serve as a foundation for the development of instruments and educational programs to improve individuals' digital health literacy.

• The Journal of Health Technology Assessment
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• v.6 no.2
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• pp.81-87
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• 2018

With the recent change of healthcare environment including rapid technological development, evidences are more and more important and necessary to support relevant policies in health technology assessment to provide safe and effective health services, utilizing medical resources efficiently. Despite of the emphasis on the importance of real world data and real world evidence in health care research, current infrastructure supporting clinical research is considerably weak due to absence of legal and institutional basis. However, in accordance with the Article 26 of the Health and Medical Technology Promotion Act, there is a limited legal apparatus that can be used only in public data with other dataset for the purpose of healthcare technology assessment at the National Evidence-based Collaborating Agency. Although the use of linked data from various sources was often required in the field of clinical research, it was not yet working well due to insufficient environmental conditions. In order to support the decision-making of medical practice and health care policies, data-linking platform for clinical research is needed. If the legal system that can link up to the data of the private institutions without violating the significant value such as the protection of private informations is established, it will be a decisive foundation reinforcing the researches and policy making processes for the improvement of the national health care system.

• Journal of radiological science and technology
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• v.6 no.1
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• pp.69-80
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• 1983

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.8
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• pp.3721-3725
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• 2016

The liver fluke Opisthorchis viverrini is a serious health problem in Thailand. Infection is associated with cholangiocarcinoma (CCA), endemic among human populations in northeast and north Thailand where raw fish containing fluke metacercariae are frequently consumed. Recently, Thailand public health authorities have been organized to reduce morbidity and mortality particularly in the northeast through O. viverrini and CCA screening projects. Health modification is one of activities included in this campaign, but systemic guidelines of modifying and developing health behavior among liver fluke and CCA prevention in communities towards health belief and social support theory are still various and unclear. Here we review the guidelines for modifying and developing health behavior among populations in rural communities to strengthen understanding regarding perceived susceptibility, severity, benefits, and barriers to liver fluke and CCA prevention. This model may be useful for public health officers and related organizations to further health behavior change in endemic areas.

• Asian Journal of Business Environment
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• v.3 no.1
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• pp.29-35
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• 2013

Purpose - objective of this research is to investigate individual, organizational and environmental factors influence tacit knowledge sharing among healthcare professionals. The transmission of Tacit Knowledge is crucial for organizations to ensure that TK will be passed throughout organization, rather than stored in single employee. Research design, data, and methodology - In this study investigate organizational, individual and environmental factors that influence on TK sharing. To test hypothesizes, the survey method was chosen. Sample size was 100 but 74% of questioners returned. Results - The main findings of this research are related to influence of personal, social cultural and behavioral factors on tacit knowledge sharing. According to extracted data all factors have influence on tacit knowledge sharing except Emotional stability that was found to be negatively related to tacit knowledge sharing. That may means anxiety and stress level of workplace applies negative enhance on tacit knowledge sharing. And finally results show that social environment, team oriented culture and organizational commitment have strongest influences on tacit knowledge sharing. Conclusion - the findings of this study shows that personal, social cultural and behavioral factors influence on tacit knowledge sharing. And also indicates that, social and organizational factors enhance strongly on tacit knowledge sharing.

• The Journal of Health Technology Assessment
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• v.6 no.2
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• pp.156-161
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• 2018

Objectives: To evaluate results and workloads of the horizon scanning of the emerging health technology since 2014 to 2016. Methods: In order to analyze the results of the emerging health technology, we identified the number of research procedure between 2014 and 2016. The sixteen findings were calculated annual workload by person, and categorized by medical phase, classification of disease, and healthcare technology. Results: An average of 5.67 personnel were involved over three years, assessment of each emerging healthcare technology was performed for each person of identifying 54 cases, filtering 2.4 cases, prioritizing 0.9 cases were performed. According to the mapping by healthcare technologies, nine medical devices (56.3%), six drugs (37.5%), and one material of the medical treatment (6.3%) were assessed. Among sixteen findings, fifteen cases were health technologies for treatment and only one case for diagnosis. Conclusion: Future plans of the horizon scanning of the emerging health technology is required appropriate manpower in charge each target number of assessment. And a legal basis should be provided for policy reflection rate. Furthermore, an evaluation criteria and procedures should be transparent to avoid a conflict of interest.