• Information and Communications Magazine
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• v.31 no.12
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• pp.10-16
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• 2014

최근, 헬스케어 산업은 정부뿐만 아니라 민간 업체에서 조차 핵심 이슈가 되고 있으며, 사물인터넷(IoT: Internet of Thins)과의 융합이 새롭게 부각되고 있다. IoT가 사용자에게는 헬스케어 접근성을 높이고, 사업자에게는 서비스 비용을 현격하게 감소시킬 수 있을 것이라고 기대하고 있기 때문이다. 이 기대는 헬스 데이터의 효과적인 수집, 분석, 전송 등에 대한 새로운 기술의 개발로 점점 현실화 되고 있다. 본고에서는 헬스케어와 IoT 융합에 대한 기술, 응용/서비스, 시장 및 향후 전망 등에 대해 살펴본다.

• The KIPS Transactions:PartD
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• v.15D no.3
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• pp.411-420
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• 2008

This paper implemented the u-Healthcare Context Information System (HCIS) supporting ubiquitous healthcare by using location, health and titrating environment information collected from sensors/devices equipped in home for healthcare home service. The HCIS is based on the Distributed Object Group Framework (DOGF), a management model which can customize distributed resources, and manages various context information, applications and devices as a group in healthcare home environment, as one more logical units. Also, this system provides continuous healthcare multimedia service considering a resident's location using Mobile Proxy, and the healthcare context information through Context Provider to a resident in home. For verifying execution of our system, we implemented the seamless multimedia service based on resident's location and the prescription/advice and schedule notification/alarm service as healthcare applications in home. And we showed the executing results of healthcare home service by using service device existed in the residential space on which the resident is located according to the healthcare scenario.

• The Journal of Society for e-Business Studies
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• v.21 no.4
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• pp.95-117
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• 2016

Entering aging society and increasing individual's interests on wellbeing lead to increasing demands of healthcare service and various healthcare related applications are providedon app market or Internet. These healthcare services could enhance user's health status if the users continuously use the service. In order to enhance effectiveness of a healthcare service, the service user should comply with recommendations or directions are provided by the service. However, previous studies of healthcare service are not considered effects of compliance intention on continuous usage. Hence, we tested how user's compliance intention effect on continuous usage intention of healthcare service based on theories of information system and medical information. Moreover, we found that compliance intention of users for healthcare service is an important factor on sustainability of healthcare service. Additionally, we investigated what factors are related with user's compliance intention.

• Journal of Digital Convergence
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• v.15 no.3
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• pp.221-228
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• 2017

With the recent development of IoT technology, medical services using IoT technology are increasing in many medical institutions providing health care services. However, as the number of IoT sensors attached to the user body increases, the healthcare information transmitted to the server becomes complicated, thereby increasing the time required for analyzing the user's healthcare information in the server. In this paper, we propose a deep learning based health care information management method to collect and process healthcare information in a server for a large amount of healthcare information delivered through a user - attached IoT device. The proposed scheme constructs a subnet according to the attribute value by assigning an attribute value to the healthcare information transmitted to the server, and extracts the association information between the subnets as a seed and groups them into a hierarchical structure. The server extracts optimized information that can improve the observation speed and accuracy of user's treatment and prescription by using deep running of grouped healthcare information. As a result of the performance evaluation, the proposed method shows that the processing speed of the medical service operated in the healthcare service model is improved by 14.1% on average and the server overhead is 6.7% lower than the conventional technique. The accuracy of healthcare information extraction was 10.1% higher than the conventional method.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.4
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• pp.163-172
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• 2022

This study investigates the IPI (Information Protection Intention) of DHS (Digital Healthcare Service) providers by introducing PMT (Protection Motivation Theory). This study examines the effects of protection motivation, such as threat appraisal and coping appraisal, on IPI, such as ICI(Induction Control Intention) and SDI(Self Defense Intention). The research model, based on the PMT, adopted severity, vulnerability, reaction efficacy and self-efficacy as independent variables. The research model was validated through quantitative research, a survey of 222 DHS providers in South Korea, using structural equation modeling. The results show that (1) a clear awareness of the consequences of security threats increases the understanding of DHS providers on the severity of closure of healthcare information, and thus may decreases abuse of DHS by providers; (2) user confidence and satisfaction on the security system may make them be confident that they can handle the closure of healthcare information by themselves; and (3) although DHS providers are realizing the consequences of closure of healthcare information, they think that they are unlikely to encounter such situations. As a result of this study, venture companies that provide DHS need to provide contents that can continuously increase providers' security level in order to increase providers' information protection intention. It suggests that IPI is important through trust of healthcare service providers.

• Review of Korea Contents Association
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• v.15 no.1
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• pp.35-37
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• 2017

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.560-563
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• 2016

The changes in the medical and healthcare are started from the digital technology. The new field of digital healthcare has started fused with existing healthcare, medical technology, and digital technology. It can increase the service effect and reduce healthcare costs by applying ICT skills such as ICBM(Internet of Things, Cloud, Big data and Mobile), artificial intelligence, robotics, virtual, augmented reality, and wearable devices to healthcare services including healthcare, disease management. Recently there has been grafted an artificial intelligence technologies such as AlphaGo of Google and Watson of IBM onto the healthcare area. In this study, we analyze the main technology, ecosystem, platforms for digital healthcare, and lastly future changes in health care services and issues of digital healthcare.

• Journal of the Institute of Convergence Signal Processing
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• v.21 no.3
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• pp.142-147
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• 2020

The Internet of Things is valuable as a means of solving social problems such as personal, public, and industrial. Recently, the application of IoT technology to the healthcare industry is increasing. It is important to ensure reliability and security in IoT-based healthcare services. Communication protocols, wireless transmit/receive techniques, and reliability-based message delivery are essential elements in IoT healthcare devices. The system was designed and implemented to measure body temperature and activity through body temperature and acceleration sensors and deliver them to the oneM2M-based Mobius platform.

• Information and Communications Magazine
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• v.29 no.10
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• pp.55-65
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• 2012

u-헬스케어 서비스는 개인 의료 정보를 다루는 분야로서 단순한 건강 검진 및 치료의 수준을 넘어 생명과도 밀접한 관계가 있다. 개인 의료 정보 속성은 매우 민감하기 때문에 만약 개인 의료 정보가 불법적으로 노출되거나 악용될 경우 단순한 개인 프라이버시 침해뿐만 아니라 생명까지도 위협받을 수 있다. 이러한 이유로 안전한 개인 의료 정보 공유 및 인증방법이 가장 우선시 되어야 하며 보안성을 고려하여 u-헬스케어 시스템을 구축해야 한다. 또한 개인의 건강 정보에 대한 관리를 체계적으로 수행하여 의료 서비스기관에 의한 개인 의료 정보 남용을 방지하기 위해 보안 감사 시스템이 강화되어야 한다. 따라서 본고에서는 u-헬스케어 서비스와 관련된 다양한 보안 취약점 및 최신 정보보호 기술 동향에 관해 알아본다.

• Information and Communications Magazine
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• v.31 no.12
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• pp.25-30
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• 2014

최근 전 세계적으로 주목을 받고 있는 사물인터넷(IoT) 기술의 발전과 함께, 사물인터넷 기반의 헬스케어, 스마트 시티, 농업, 국방 등의 다양한 서비스 개발이 본격적으로 진행되고 있다. 특히, IoT 기반 헬스케어 서비스는 IoT 융합 관련 핵심 서비스로서 성장하고 치열한 글로벌 경쟁 속에서 미래 정보통신산업 의 판도를 좌우할 것으로 예상된다. 본 고에서는 최근 국내외에서 활발히 진행되고 있는 IoT 기반 헬스케어 서비스 및 플랫폼 관련 동향을 살펴보고 향후 산업화 전망에 대하여 알아본다.