• Nutrition Research and Practice
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• 제13권6호
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• pp.509-520
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• 2019

BACKGROUND/OBJECTIVES: This study evaluated whether a mobile health (mHealth) application can instigate healthy behavioral changes and improvements in metabolic disorders in individuals with metabolic abnormalities. SUBJECTS/METHODS: Participants were divided into an mHealth intervention group (IG), which used a mobile app for 24 weeks, and a conventional IG. All mobile apps featured activity monitors, with blood pressure and glucose monitors, and body-composition measuring devices. The two groups were compared after 24 weeks in terms of health-behavior practice rate and changes in the proportion of people with health risks, and health behaviors performed by the IG that contributed to reductions in more than one health risk factor were analyzed using multiple logistic regression. RESULTS: Preference for low-sodium diet, reading nutritional facts, having breakfast, and performing moderate physical activity significantly increased in the mHealth IG. Furthermore, the mHealth IG showed a significant increase of eight items in the mini-dietary assessment; particularly, the items "I eat at least two types of vegetables of various colors at every meal" and "I consume dairies, such as milk, yogurt, and cheese, every day." The proportion of people with health risks, with the exception of fasting glucose, significantly decreased in the mHealth IG, while only the proportion of people with at-risk triglycerides and waist circumference of females significantly decreased in the control group. Finally, compared to those who did not show improvements of health risks, those who showed improvements of health risks in the mHealth IG had an odds ratio of 1.61 for moderate to vigorous physical activity, 1.65 for "I do not add more salt or soy sauce in my food," and 1.77 for "I remove fat in my meat before eating." CONCLUSIONS: The findings suggest that the additional use of a community-based mHealth service through a mobile application is effective for improving health behaviors and lowering metabolic risks in Koreans.

• 한국IT서비스학회지
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• 제22권1호
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• pp.95-114
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• 2023

Smart healthcare, combining ICT (Information and Communications Technologies) and medical technologies, has been rapidly emerging. Accordingly, its market has also increased as interest in disease prevention, management, and diagnosis grows due to the COVID-19 pandemic. In particular, using mobile devices to support medical activities, mobile healthcare has been attracting attention as a leading service in the smart healthcare market. However, the intention to use mobile healthcare apps may vary depending on individual beliefs and attitudes. Many studies on the intention to use mobile healthcare apps have used the TAM (Technology Acceptance Model), but there is a lack of studies that have been verified from the perspective of users' health beliefs. This study aims to identify the factors that affect the intention to use mobile healthcare apps based on the HBM (Health Belief Model). Furthermore, it investigates how this influencing mechanism fluctuates based on the user's mHealth literacy, the ability to find and understand health information through mobile. This study contributes to the empirical examination of the intention to use mobile healthcare apps through the HBM. It also offers insights for app providers and public health officials to increase the use of mobile healthcare apps.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2009년도 추계학술대회
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• pp.866-870
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• 2009

Mobile Health (M-Health) system is a recent term for medical and public health practice supported by mobile devices, such as mobile phones, PDAs, and other wireless devices. Mobile Health system has been successfully establishing at few general hospital in Korea. However, to use diverse devices manufactured by various company cause inoperability, and lack of security disappoints customers often. Although the outstanding health environment, most of hospitals are unavailable to share electronic patient records due to lack of standard protocol to handle the interoperability each other. Health Level 7 (HL7) is the best solution for the problem. In this paper, we will analyse a current M-Health service in terms of security and mobile device, and suggest iPhone for the best device against hospital environment. Also, for keep confidentiality of health information and patient privacy, enhanced security mechanism is introduced. As a consequence, interoperable standard, and most appropriate device for supporting staffs and M-Health performance, and enhanced securirty mechanism will be integrated in order to propose improved M-health model.

• 한국HCI학회논문지
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• 제10권1호
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• pp.19-27
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• 2015

모바일 헬스(m-health) 시장은 특히 젊은 연령층 사이에서 스마트폰과 같은 모바일 기기를 통해 건강 컨텐츠를 활용하는 양상으로 발전하면서 확장하고 있는 추세이다. 이 연구는 서울대학교 대학(원)생을 대상으로, 젊은 층의 건강 어플리케이션 사용 현황 및 지속적 사용요인을 살펴봄으로써 건강 어플리케이션의 기전을 보다 파악하여 앞으로 등장할 가능성이 높은 모바일 헬스를 활용한 건강증진 프로그램에 기초 자료를 제공할 것으로 본다. 연구 방법으로는 연구 대상자의 인구학적 특성 및 지속적 사용여부에 따른 앱 이용 성향의 차이를 분석하고, 건강 어플리케이션에 대한 지식(Knowledge), 태도(Attitude), 믿음(Belief), 실천(Practice) 수준을 비교하였다. 지속적으로 건강 어플리케이션을 사용하는 집단은 전체의 28%로, 이들의 건강 어플리케이션에 대한 지식, 태도, 믿음, 실천(KABP)에 대한 정도가 건강 어플리케이션 사용중단자에 비하여 높았다. 본 연구는 기존 선행연구들의 마케팅 차원의 서비스 만족도 및 수용도 분석에서 더 나아가, 보건학적 관점에서 건강 어플리케이션 이용 욕구를 폭넓게 분석했다는 데 그 의의가 있다

• 한국컴퓨터정보학회논문지
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• 제17권7호
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• pp.97-106
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• 2012

모바일 장치에서의바이오신호데이터의 관리는 용량이많은 실시간멀티미디어 데이터의전송이나 저장 장치에서 많은 문제점을야기시킨다. 따라서 본 논문은신속한 의료 서비스를 제공하기 위해서 모바일을 이용한 임상 데이터 처리 시스템인 m-Health 시스템을 제안한다. 이 시스템은 지역의 IP 네트워크 상의 헬스 시스템을 구축하여 원격의 여러 바이오 센싱으로 부터 출력을 조합하고, 다양한 바이오 센서에서의 전자적인 데이터 통합 처리를 수행하였다. m-Health 시스템은 다양한 바이오신호들을 측정 및 모니터링하고 원거리에 위치한 병원의 데이터 서버로 전송한다. 환자 및 가족, 의료진 모두가 언제 어디서나 사용할 수 있는 안드로이드 기반의 모바일 애플리케이션으로 의료 관련자는 병원의 데이터 서버에서 환자 데이터를 접근하여 환자 또는 사용자에게 의료 진단 및 처방을 피드백 한다. 그리고 환자 관찰을 위한 비디오 스트림은 스케일러블 트랜스코딩 기법을 이용하여 네트워크 트래픽에 알맞은 데이터 크기를 결정하고 비디오 스트림을 전송함으로서 모바일 시스템과 네트워크의 부하를 줄일 수 있다.

• International Journal of Computer Science & Network Security
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• 제21권4호
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• pp.313-324
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• 2021

This study empirically investigates the factors influencing the intention to accept mobile technology in Saudi healthcare service delivery using the extended unified theory of acceptance and use of technology model (UTAUT) with perceived reliability and price value. Accordingly, a conceptual model combining behavioral constructs with those linked to the technology acceptance model is developed. This model aims to identify factors that predict patients' acceptance of mobile technology healthcare service delivery. The developed model is examined using responses obtained from a survey on 545 participants receiving healthcare services in Saudi Arabia. Thus, we have conceptualized the developed model and validated seven hypotheses involving key constructs. Results suggest that performance expectancy, effort expectancy, social influence, facilitating conditions, price value, and perceived reliability are direct predictors of user behavior to accept mobile technology in healthcare service delivery. The results provide empirical evidence to the literature on the effect of facilitating conditions and effort expectancy on mobile health (mHealth) adoption. The results show that the COVID-19 pandemic has significantly increased the adoption of mHealth services in Saudi Arabia.

• 중환자간호학회지
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• 제13권1호
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• pp.63-75
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• 2020

Purpose : The purpose of this study was to review mobile health (mHealth) interventions based on studies from online databases for community-dwelling patients with heart diseases. Methods : Six databases (RISS, KISS, PubMed, CINAHL, EMBASE, and SCOPUS) were searched to select studies conducted from January 1 to September 30, 2010. After this, quality appraisals were carried out using the Scottish Intercollegiate Guidelines Network checklist and a total of 11 studies were selected. Results : The selected 11 studies included 7 randomized controlled studies, 1 quasi-experimental study and 3 pilot studies. The main components of mHealth interventions included symptom monitoring at home, provisions for individualized messages for health management using text messaging, telephone or smart phone applications, and running websites for symptom monitoring or health education. Intervention periods varied from 6 weeks to 12 months. The findings of the studies suggested that the mHealth interventions were effective in improving self-management of heart diseases, quality of life, and decreasing symptoms. Conclusions : The results of the review suggested that mHealth interventions had positive effects on community-dwelling patients with heart diseases. More mHealth intervention studies need to be conducted in Korea to aid community-dwelling patients with heart diseases.

• Journal of information and communication convergence engineering
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• 제9권5호
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• pp.562-566
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• 2011

As telecommunication technologies in telemedicine services are developed, the expeditious development of wireless and mobile networks has stimulated wide applications of mobile electronic healthcare systems. However, security is an essential system requirement since many patients have privacy concerns when it comes to releasing their personal information over the open wireless channels. Due to the invisible feature of mobile signals, hackers have easier access to hospital networks than wired network systems. This may result in several security incidents unless security protocols are well prepared. In this paper, we analyzed authentication and authorization procedures for healthcare system architecture to apply secure M-health systems in the hospital environment. From the analyses, we estimate optimal requirements as a countermeasure to its vulnerabilities.

• International journal of advanced smart convergence
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• 제5권1호
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• pp.1-7
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• 2016

Recently, introduced a cloud computing technology to the IT industry, smart phones, it has become possible connection between mobility terminal such as a tablet PC. For dissemination and popularization of movable wireless terminal, the same operation have focused on a viable mobile cloud in various terminal. Also, it evolved Wireless Sensor Network(WSN) technology, utilizing a Body Sensor Network(BSN), which research is underway to build large Ubiquitous Sensor Network(USN). BSN is based on large-scale sensor networks, it integrates the state information of the patient's body, it has been the need to build a managed system. Also, by transferring the acquired sensor information to HIS(Hospital Information System), there is a need to frequently monitor the condition of the patient. Therefore, In this paper, possible sensor information exchange between terminals in a mobile cloud environment, by integrating the data obtained by the body sensor HIS and interoperable data DBaaS (DataBase as a Service) it will provide a base of mBodyCloud System. Therefore, to provide an integrated protocol to include the sensor data to a standard HL7(Health Level7) medical information data.

• 국제학술발표논문집
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• The 6th International Conference on Construction Engineering and Project Management
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• pp.336-338
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• 2015

This research is to propose an applicable framework for real-time health surveillance and safety monitoring at construction sites. First this study aims at finding (1) a framework for health surveillance that is likely to benefit employers and employees in the industry, (2) a valid way to identify factors or conditions with potential health concerns that can occur under particular work conditions, (3) An effective way to apply wireless/mobile sensors to construction workers using real-time/live data transmission methods, and (4) A relationship between a worker's vital signs and job site environment. Biosensors for physiological response and devices for weather/work related data are to collect real-time data. Relationships between jobs and physiological responses are analyzed and factors that touched particularly contributing to certain responses are identified. When data are incorporated with tasks, factors affecting tasks can be identified to estimate the magnitude of the factors. By comparing work and normal responses possible precautionary actions can be considered. In addition, the study would be lead to improving (1) trade-specific dynamic work schedules for workers which would be based on various factors affecting worker health level and (2) reevaluating worker productivity with health status and work schedule, thereby seeking ways to maximize worker productivity. Through a study, the paper presents expected benefits of implementing health monitoring.