• The Journal of Society for e-Business Studies
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• v.24 no.1
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• pp.49-89
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• 2019

Many studies have been conducted on adoption of healthcare applications. However, few studies have paid their attention to continuous usage intention of healthcare applications even though success of healthcare applications is determined by Continuous usage intention rather than adoption. Therefore, this study tried to identify the factors affecting the continuous usage intention of healthcare applications and examined the relationship between them empirically. In addition, the role of gender and age in the relationship was investigated. The results showed that self-efficacy and innovation had a significant effect on perceived ease of use of healthcare application, while self-efficacy, health information seeking, and enjoyment had a significant effect on perceived usefulness. Perceived ease of use and usefulness showed positive impact on continuous usage intention of healthcare application. Finally, age and gender had a moderator effect the relationship between perceived usefulness and continuous usage intention. This study is expected to make contributions to the existing research by identifying the factors affecting the Continuous usage intention of healthcare applications, but also to give a guideline for managers who want to provide healthcare application services.

• Korean Medical Education Review
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• v.18 no.2
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• pp.51-57
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• 2016

This literature review explores artificial intelligence (AI) technology trends and IBM Watson health and medical references. This study explains how healthcare will be changed by the evolution of AI technology, and also summarizes key technologies in AI, specifically the technology of IBM Watson. We look at this issue from the perspective of 'information overload,' in that medical literature doubles every three years, with approximately 700,000 new scientific articles being published every year, in addition to the explosion of patient data. Estimates are also forecasting a shortage of oncologists, with the demand expected to grow by 42%. Due to this projected shortage, physicians won't likely be able to explore the best treatment options for patients in clinical trials. This issue can be addressed by the AI Watson motivation to solve healthcare industry issues. In addition, the Watson Oncology solution is reviewed from the end user interface point of view. This study also investigates global company platform business to explain how AI and machine learning technology are expanding in the market with use cases. It emphasizes ecosystem partner business models that can support startup and venture businesses including healthcare models. Finally, we identify a need for healthcare company partnerships to be reviewed from the aspect of solution transformation. AI and Watson will change a lot in the healthcare business. This study addresses what we need to prepare for AI, Cognitive Era those are understanding of AI innovation, Cloud Platform business, the importance of data sets, and needs for further enhancement in our knowledge base.

• Journal of Information Science Theory and Practice
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• v.11 no.2
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• pp.82-103
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• 2023

The Zimbabwean healthcare sector faces huge challenges due to increased demands for improved services for a growing number of patients with fewer resources. The use of information and communications technologies, prevalent in many industries, but lacking in Zimbabwean healthcare, could increase productivity and innovation. The adoption of health management information systems (HMISs) can lead to improved patient safety and high-level patient care. These technologies can change delivery methods to be more patient focused by utilising integrated models and allowing for a continuum of care across healthcare providers. However, implementation of these technologies in the health care sector remains low. The purpose of this study is to demonstrate the advantages to be attained by using HMISs in healthcare delivery and to ascertain the factors that influence the uptake of such systems in the public healthcare sector. A conceptual model, extending the technology, organization, and environment framework by means of other adoption models, underpins the study of adoption behavior. A mixed method methodology was used to conduct the study. For the quantitative approach, questionnaires were used to allow for regression analysis. For the qualitative approach, thematic analysis was used to analyse interview data. The results showed that the critical success factors (namely, relative advantage, availability, complexity, compatibility, trialability, observability, management support, information and communication technology expertise, communication processes, government regulation, infrastructure support, organizational readiness, industry and competitive support, external support, perceived ease of use, perceived usefulness, attitude, and intention to use) influenced adoption of HMISs in public hospitals in Zimbabwe.

• Journal of Biomedical Engineering Research
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• v.44 no.4
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• pp.264-274
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• 2023

Purpose: The objective is to extract insights that can contribute to the formulation of harmonized international policies and support measures for innovative medical devices and management systems. This study aims to propose effective strategies for future medical device innovation and healthcare delivery. Results: It investigates technological advancements, regulatory approval systems, insurance policies, and successful commercialization cases in South Korea, the United States, and the European Union. In 2018, the FDA implemented insurance coverage for Software as a Medical Device (SaMD) and recognized insurance coverage for Digital Therapeutics (DTx). Germany is a country that ensures permanent reimbursement for healthcare applications since 2020, making it the first country to provide legal health insurance coverage for fostering a digital ecosystem. Conclusion: The findings of this research highlight the importance of cultivating a supportive regulatory and environmental framework to facilitate the adoption of innovative medical devices. Continuous support for research and development (R&D) efforts by companies, along with the validation of clinical effectiveness, is crucial.

• The Journal of Industrial Distribution & Business
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• v.14 no.7
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• pp.27-38
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• 2023

Purpose: The new technological innovation caused by the Fourth Industrial Revolution will bring about a major change in the scalp healthcare market and the wig industry. This review paper is an empirical analysis focusing on the development potential of the Korean beauty tech market and the wig industry. Research design, data and methodology: This review of the wig industry and consumer experience is an important literature review. The PRISMA flow chart was used. Beauty Tech; Beauty Industry; Wig Industry; Wig; Scalp Healthcare; was used as Keywords as records verified through database screening. A total of 513 references were finally selected through major journal search sites such as PubMed, Google Scholar, RISS, Scopus, and Research Gate. Among the selected references, a total of 52 papers were selected in the final stage from 2001 to 2022. Results: For the sustainable development of wig industry management, consumers' desire for new and convenient products should be secured through technologies related to the 4th industrial revolution, and creative thinking was presented throughout manufacturing, distribution, and customer service. Conclusions: Hair loss reduces the quality of life due to mental stress and affects social life. The continuous development of wig companies, such as information on wigs and quality improvement, should be supported.

• Journal of Information Technology Services
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• v.23 no.3
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• pp.39-54
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• 2024

This study explores the barriers to using health and medical data in research and development (R&D) within the healthcare industry and suggests ways to enhance data utilization. As artificial intelligence technology drives transformative changes across industries, there is an increased demand for robust health and medical data, highlighting its critical economic value and utility in fostering innovation. Using qualitative analysis through Grounded Theory, the study involves ten R&D professionals from healthcare industry, including both medical centers and corporations, using surveys and in-depth interviews to gather diverse experiences and perspectives on the challenges and opportunities in health and medical data use. Key findings point to legislative, regulatory, and data quality and integration issues, as well as complexities in patient data access and usage. Technological limitations and inadequate data governance frameworks also emerge as significant obstacles. Recommendations focus on improving regulatory frameworks, enhancing data standardization and quality, and fostering stronger partnerships between data custodians and users. The study concludes that overcoming these obstacles requires a comprehensive strategy involving legislative changes, improved technological infrastructure, and increased stakeholder collaboration. Implementing these recommendations could greatly enhance health and medical data utilization in R&D, significantly advancing medical science and patient care services.

• The Journal of Information Technology
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• v.8 no.2
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• pp.17-26
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• 2005

RFID(Radio Frequency IDentification) is a method of remotely storing and retrieving data using devices called 'RFID tags'. An RFID tag is a small object, such as an adhesive sticker, that can be attached to or incorporated into a product. RFID tags contain antennas to enable them to receive and respond to radio-frequency queries fro an RFID transceiver. Eventually, RFID SYSTEM is very interesting to watch people live linger than they used to before. Some of reasons for that phenomenon is the improving medical studies. As we live healthier and get to know more about our body, we can extend our lives. This Platform is Physical Health Promotion Service, Home Health Monitoring Service, Mental Health Promotion Service, Home Patient Management Service, Chronic Disease Management Service, Emergency Patient Management Service, Medical Information and Consulting Service of the RFID.

• The Journal of Information Technology
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• v.8 no.2
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• pp.93-101
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• 2005

We implemented an execution health officer system in this research. This system is the execution and can manage the health of the user systematically. A home network standard was not set up yet. The comparison observed geungedda suitable in a health officer system standard. We made efforts to realize the medical treatment network not to be activated yet. We implemented also a remote medical examination and treatment service a former chateu service alimentotherapy service. We will offer different service field and many the gear potent service.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.2
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• pp.370-379
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• 2018

The Korean government announced plans for the International Science Business Belt as a spatial area for promoting the linkage between scientific knowledge and commercialization in 2009. R&D and entrepreneurial activities are essential for the success of the International Science Business Belt. In particular, prioritizing the types of businesses is critical at the cluster establishment stage in that this largely affects the features and development of clusters comprising the International Science Business Belt. This research aims to predict the entry and growth of firms that specialize in four industrial clusters, including Big Science Cluster, Frontier Cluster, ICT Cluster, and Bio-Healthcare Cluster. For this purpose, we employ the Swann & Prevezer's industrial clustering model to identify sectors that affect the establishment and growth of industrial clusters in the International Science Business Belt, focusing on ICT, Bio-Healthcare and Frontier clusters. Data was collected from the 2014 Korean Innovation Survey (KIS) and University Alimi for the ICT cluster, 2014 National Bio Industry Survey and University Alimi for the Bio-Healthcare Cluster, and the 2015 National Nano Convergent Industry Survey and Annual Report of Nano Technology for the Frontier cluster. Empirical results show that the ICT service sector, bio process/equipment sector, and Nano electronic sector promote clustering in other sectors. Based on the analysis results, we discuss several policy implications and strategies that can attract relevant firms for the development of industrial clusters.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.253-261
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• 2017

SNS 커뮤니티를 기반으로 다원적 서비스로 발전하고 있는 스마트 헬스케어 기술발전 추이와 서비스 및 IoT 기반 플랫폼 개발동향에 대해 설명한다. 아울러 질병의 예방/진단/치료/사후관리 등 서비스 분야별 시장성장 추이와 스마트 헬스 캐어 산업의 전방위 기술시장인 글로벌 의료기기 등에 대한 시장성 분석 정보를 제시한다. 이를 토대로 인구고령화 패러다임의 변화에 따른 헬스케어 서비스 산업의 시사점에 대해 설명한다. 국내 스마트 헬스케어 시장은 매우 협소하여 원격의료 및 만성질환관리 등 기본적인 서비스만으로는 산업의 고도화에 한계가 있다. 이에 센서/기기 등 하드웨어 중심에서 데이터, 콘텐츠 및 플랫폼을 기반으로 편의성과 저비용의 서비스를 제공할 수 있는 새로운 스마트 헬스케어 사업모델을 적극 발굴하여 시장을 확대할 필요가 있다.