• 재활복지공학회논문지
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• 제4권1호
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• pp.9-14
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• 2010

인구의 고령화와 국민의 소득증대에 따라 정보통신기술을 활용한 새로운 형태의 보건의료서비스인 유헬스케어에 대한 관심과 보급이 증가되어 가고 있어 이러한 용도의 유헬스 의료기기의 안전성 확보를 위한 사용환경을 고려한 안전성 및 성능 평가방법이 필요하다. 본 연구에서는 유헬스의료기기와 관련된 국제규격(IEC)과 국내규격(KS)을 참고하여 유헬스케어의료기기의 사용환경에 대한 안전성을 평가할 수 있는 기준 및 방법과 전원문제등을 고려한 필수성능을 평가할 수 있는 기준 및 방법을 개발하였다.

• 보건행정학회지
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• 제34권1호
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• pp.4-16
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• 2024

Smart hospitals involve the use of recent ICT (information and communications technology) technologies to improve healthcare access, efficiency, and effectiveness. Standardization in smart hospital technologies is crucial for interoperability, scalability, policy formulation, quality control, and maintenance. This study reviewed relevant international standards for smart hospitals and the organizations that develop them. Specific attention was paid to robotics in smart hospitals and the potential for standardization in this area. The study used online resources and existing standards to analyze technologies, standards, and practices in smart hospitals. Key technologies of smart hospitals were identified. Relevant standards from ISO (International Organization for Standardization) and IEC (International Electrotechnical Commission) were mapped to each core technology. Korea's leadership in smart hospital technology were highlighted. Approaches for standardizing smart hospitals were proposed. Finally, potential new international standard items for robotics in smart hospitals were identified and categorized by function: sampling, remote operation, delivery, disinfection, and movement tracking/contact tracing. Standardization in smart hospital technologies is crucial for ensuring interoperability, scalability, ethical use of artificial intelligence, and quality control. Implementing international standards in smart hospitals is expected to benefit individuals, healthcare institutions, nations, and industry by improving healthcare access, quality, and competitiveness.

• Interdisciplinary Bio Central
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• 제1권2호
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• pp.6.1-6.4
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• 2009

We stand at the brink of a fundamental change in how medicine will be practiced. Over the next 5-20 years medicine will move from being largely reactive to being predictive, personalized, preventive and participatory (P4). Technology and new scientific strategies have always been the drivers of revolutions and this is certainly the case for P4 medicine, where a systems approach to disease, new and emerging technologies and powerful computational tools will open new windows for the investigation of disease. Systems approaches are driving the emergence of fascinating new technologies that will permit billions of measurements on each individual patient. The challenge for health information technology will be how to reduce this enormous amount of data to simple hypotheses about health and disease. We predict that emerging technologies, together with the systems approaches to diagnosis, therapy and prevention will lead to a down turn in the escalating costs of healthcare. In time we will be able to export P4 medicine to the developing world and it will become the foundation of global medicine. The "democratization" of healthcare will come from P4 medicine. Its first real emergence will require the unprecedented integration of biology, medicine, technology and computation. as well as societal issues of major importance: ethical, regulatory, public policy, economic, and others. In order to effectively move the P4 scientific agenda forward new strategic partnerships are now being created with the large-scale integration of complementary skills, technologies, computational tools, patient records and samples and analysis of societal issues. It is evident that the business plans of every sector of the healthcare industry will need to be entirely transformed over the next 10 years.and the extent to which this will be done by existing companies as opposed to newly created companies is a fascinating question.

• ETRI Journal
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• 제41권4호
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• pp.452-464
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• 2019

The use of wireless body area networks (WBANs) in healthcare applications has made it convenient to monitor both health personnel and patient status continuously in real time through wearable wireless sensor nodes. However, the heterogeneous and complex network structure of WBANs has some disadvantages in terms of control and management. The software-defined network (SDN) approach is a promising technology that defines a new design and management approach for network communications. In order to create more flexible and dynamic network structures in WBANs, this study uses the SDN approach. For this, a WBAN architecture based on the SDN approach with a new energy-aware routing algorithm for healthcare architecture is proposed. To develop a more flexible architecture, a controller that manages all HUBs is designed. The proposed architecture is modeled using the Riverbed Modeler software for performance analysis. The simulation results show that the SDN-based structure meets the service quality requirements and shows superior performance in terms of energy consumption, throughput, successful transmission rate, and delay parameters according to the traditional routing approach.

• 전자공학회논문지CI
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• 제46권2호
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• pp.27-35
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• 2009

고령화 사회로의 진입과 삶의 질 향상에 따라 의료산업의 패러다임이 u-헬스케어(Healthcare)로 빠르게 변화하고 있다. u-헬스케어로의 변화는, 질병의 진단과 치료와 같은 의료서비스의 사후(事後)처리적인 관점에서 예방과 관리라는 사전(事前)예방적인 관점으로의 변화라는 점에서 의미가 있다. 그러나 u-헬스케어에 대한 관심은 새로운 서비스 도출과 측정기기(센서류)의 개발, 의료정보 표준화와 통합에만 그 관심이 집중되고 있다. 따라서 본고에서는 유비쿼터스 지능공간을 구성하고 사용자에게 u-헬스케어 기술을 제공함에 있어 "사용자 중심의 u-헬스케어 기술"이라는 개념을 적용함으로써, u-헬스케어 기술을 유비쿼터스 구성의 기본철학인 사라지는 컴퓨팅(Disappear Computing), 보이지 않는 컴퓨팅(Invisible Computing), 조용한 컴퓨팅(Calm Computing)과 사용자 중심(User Centered)의 기술 개발을 통해 실현 가능하도록 하는 방법에 대하여 소개하고자 한다.

• 복식문화연구
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• 제27권6호
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• pp.615-631
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• 2019

Smart healthcare clothing combines IoT, new technology, and clothing construction to perform specific care functions, and its utility has been expanding rapidly within aging and diversified societies. However, the related market remains at an early stage of development due to limited regulation, lack of consumer awareness, and the need for not only technical development but promotion plans for potential users. This paper aims to analyze factors influencing purchase intention for smart healthcare clothing with biosignal monitoring, including variables in the Technology Acceptance Model (TAM), clothing attributes, health-related lifestyle factors, and fashion innovativeness. A survey was conducted on a sample of 300 males and 300 females ranging in age from 20 to 50 years, and data were analyzed using SPSS 21.0. The results show that perceived usefulness, perceived aesthetic attributes, health responsibility, and fashion innovativeness were overall significant predictors of using smart healthcare clothing. Additionally, perceived ease of use and physical activity in the male subsample, and perceived compatibility within the female group, also had significant effects. Furthermore, age was a determining factor; for subjects in the 30s age group, perceived usefulness, compatibility, and health responsibility had significant positive associations. The results of this study can provide basic guidelines for designing merchandising plans to expand user acceptance of smart healthcare clothing.

• 대한의사협회지
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• 제61권12호
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• pp.702-705
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• 2018

Advances in technology lead to advances in medical devices, and these advances have the positive effect of creating opportunities for beneficial developments in healthcare, such as innovating traditional healthcare processes or expanding opportunities for diagnosing and treating diseases. Nonetheless, device developers, suppliers, users, insurers, and patients all face the challenge of balancing patient safety and health effectiveness with a reasonable profit. In Korea, the New Health Technology Assessment system aims to introduce safe and effective health technology, but this is only effective for the entry of devices onto the healthcare market. This system is not enough for creating a healthy ecosystem in which high-quality technologies and devices survive in the market and naturally exit from the market if not successful. The nation must not lag in the rapid development of medical devices, but the concomitant requirement for patient safety is like two rabbits moving in different directions. There is not enough time to resolve each source of uncertainty for both developers and users. The early adoption of health technologies, including medical devices, offers new opportunities for treatment and diagnosis, but also poses unexpected health risks. Thus, we need to design a plan to generate scientific evidence related to medical devices after they introduced into practice. Additionally, regarding the use of individual medical devices, we believe that the creation of a healthy ecosystem for medical devices by implementing medical device surveillance culture is a way to manage the opportunities and risks of the early introduction of innovative medical devices.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2015년도 춘계학술대회
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• pp.513-516
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• 2015

헬스케어 산업은 첨단 IT 제품과 무선 통신의 발달로 급속도로 성장하고 있는 분야다. 특히 우리나라는 물론 세계적으로 고령화 사회에 접어들고 있어 직접 병원에 방문하기보단 언제 어디서나 치료를 받고 싶어 하는 이용자들이 증가하는 추세이다. 또한 최근에는 창의적인 아이디어를 가진 신생기업들도 설립되고 있고 헬스케어 산업이 발전함에 따라 사물인터넷을 이용한 헬스케어 디바이스도 개발되고 있다. 따라서 본 논문에서는 헬스케어 소비자를 대상으로 한 설문조사를 통해 헬스케어 이용 동향 및 문제점을 분석하였다. 그리고 이를 통해 향후 헬스케어 시장의 발전 방안을 제시했다.

• International Journal of Advanced Culture Technology
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• 제11권1호
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• pp.18-26
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• 2023

The use of holographic standardized patient (HSP) with mixed reality can provide students with the opportunity to enhance clinical reasoning skills. This is still relatively new, so there is a lack of guidelines for educators. Thus, we aimed to develop the instructional model of HSP-based education, for enhancing clinical reasoning skills in undergraduate healthcare education, which could systematically guide educators in designing and implementing HSP-based teaching and learning activities appropriately. Using a design and development research, a theoretically constructed initial mode in this study was iteratively improved and underwent validation through expert review and model usability test. Features of the model were discussed, along with theoretical and practical implications and suggestions for further research.

• 의학교육논단
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• 제18권2호
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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.