• Journal of Information Technology Services
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• v.22 no.1
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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.

• Journal of Information Technology Services
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• v.11 no.sup
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• pp.27-39
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• 2012

As many applications are possible now in mobile environment with the trend of mobile convergence, diverse applications in healthcare industry are also possible in mobile devices. Though lots of researches on mobile and health services are introduced, they are limited to specific area or techniques. This study shows possible directions of fusion between mobile technologies and health services in the future using a data mining technique called association rule analysis. The data used in this study is collected from web pages containing key words related to mobile technologies and health services. The analysis shows that current cases of fusion between monitoring based telemedicine and patients. It also shows another case of fusion between mobile hospital and medical screen charts. These show that fusion between mobile technologies and health services already began in industry. Association rules are found between well-being, city, diet, and sleep. The association rules containing security and privacy, though their associations are not so strong, also show that security and privacy of patient information should be protected in the future. The results show that the fusion of mobile technologies and health services is expected to provide health services to more users and larger areas. It is also expected to create new diverse business models in the future.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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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.

• Journal of the Korean Society of Systems Engineering
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• v.17 no.2
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• pp.98-105
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• 2021

As the average life expectancy is rising, the population is aging and the number of chronic diseases is increasing. This has increased the importance of healthy life and health management, and interest in mobile health services is on the rise thanks to the development of ICT(Information and communication technologies) and the smartphone use expansion. In order to meet these interests, many mobile services related to daily health are being launched in the market. Therefore, in this study, the characteristics of users who actually use mobile health services were analyzed and a predictive model applied with machine learning modeling was developed. As a result of the study, we developed a prediction model to which the decision tree and ensemble methods were applied. And it was found that the mobile health service users' continued use can be induced by providing features that require frequent visit, suggesting achievable activity missions, and guiding the sensor connection for user's activity measurement.

• International Journal of Advanced Culture Technology
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• v.6 no.4
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• pp.226-232
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• 2018

The rapid pace of growth in internet usage and rich mobile applications and with the advantage of incredible usage of internet enabled mobile devices the Green Mobile Crowd Computing will be the suitable area to research combining with cloud services architecture. Our proposed Framework will deploy the eHealth among various health care sectors and pave a way to create a Green Mobile Application to provide a better and secured way to access the Products/ Information/ Knowledge, eHealth services, experts / doctors globally. This green mobile crowd computing and cloud architecture for healthcare information systems are expected to lower costs, improve efficiency and reduce error by also providing better consumer care and service with great transparency to the patient universally in the field of medical health information technology. Here we introduced novel architecture to use of cloud services with crowd sourcing.

• Environmental Analysis Health and Toxicology
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• v.28
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• pp.18.1-18.8
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• 2013

Objectives As public concern on possible harmful effects of mobile phone in children has been raised, information of epidemiological characteristics of mobile phone use in children and adolescents will be essential for public health policy. Methods Using three databases (n=21,693) collected from 2008 to 2011, we examined characteristics of mobile phone ownership and use, and socioeconomic positions (SEP) in Korean children and adolescents. Results The ownership rate and the amount of mobile phone use were higher in females than males, in higher school grades than lower grades, and at 2011 than 2008. The average age of first mobile phone ownership was shown to decrease from 12.5 years in currently high school students to 8.4 years in currently elementary school students at 2011. More than 90% of children in the 5th grade owned a mobile phone. More children owned a mobile phone in lower SEP communities than in higher SEP. Children with parents educated less than those with parents educated more were more likely to own and use mobile phone. Conclusions Considering the epidemiological characteristics of mobile phone use, precautionary measures to prevent unnecessary exposure to mobile phones are needed in children and adolescents.

• Journal of the Korea Society of Computer and Information
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• v.23 no.10
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• pp.119-125
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• 2018

The purpose of this study was to investigate the effect of health care on the body composition and metabolic Syndrome risk factors in male office workers. The subjects of this study were 30~40's male office workers and their physical activities were increased by mobile healthcare. The date analysis in this study was carried out paired t­test using SPSS 20.0 version(${\alpha}=.05$). The result of study were as follow: First. body composition kg(p<.015), BMI(p<.041), WC(p<.026) were significantly decreased after Increase in Physical Activity Using Mobile Health Care, although these did not reach statistical significance, SMM(p<.123), BF(p<.059) was slightly increased and decreased trend. Second, SBP(p<.300), DBP(p<.384) was slightly decreased trend and BS(p<.034) were significantly decreased after Increase in Physical Activity Using Mobile Health Care, Third, plasma TC(p<.015), TG(p<.003), LDL-C)(p<.000) were significantly decreased after Increase in Physical Activity Using Mobile Health Care and plasma HDL-C (p<.003) were significantly increased. These results suggest that increased physical activity using mobile health care has a positive effect on the body composition and metabolic syndrome index in male office workers. Sedentary lifestyles could be changed by Continuous feedback using mobile healthcare.

• Korean Journal of Health Education and Promotion
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• v.32 no.4
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• pp.67-78
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• 2015

Objectives: This study aims to examine the trends of mobile-health research in terms of community participation. Methods: A set of 24 peer-reviewed articles were identified for review. Two authors independently reviewed the articles using a literature review matrix and reexamined as a team. Review categories include: general characteristics, research methods, levels and ranges of community participation, and research topics. Results: Most of the articles were published in 2013-2014, including one domestic paper. Multidisciplinary approaches were used in 65% of the studies. Community participation was at low or mid-levels of Arnstein's participation model. In mobile-health research so far, the level of participation tends to improve as more diverse stakeholders participate in health promotion initiatives with mobile-health. The review yielded five types of mobile-health research for community health promotion: improving the quality of primary healthcare through the community health workers' capacity enhancement; improving the data collection capabilities; facilitating exchanges of community information and resources; reinforcing community identity; and monitoring physical environment of the communities. Conclusions: Although at an early stage of research development, application of mobile-health to community health promotion via participation has a potential. Multi-disciplinary approaches should be fostered for further development.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.9
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• pp.4961-4964
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• 2013

Greater use of mobile phone devices seems inevitable because the health industry and cancer care are facing challenges such as resource constraints, rising care costs, the need for immediate access to healthcare data of types such as audio video texts for early detection and treatment of patients and increasing remote aids in telemedicine. Physicians, in order to study the causes of cancer, detect cancer earlier, act in prevention measures, determine the effectiveness of treatment and specify the reasons for the treatment ineffectiveness, need to access accurate, comprehensive and timely cancer data. Mobile devices provide opportunities and can play an important role in consulting, diagnosis, treatment, and quick access to health information. There easy carriage make them perfect tools for healthcare providers in cancer care management. Key factors in cancer care management systems through a mobile phone health approach must be considered such as human resources, confidentiality and privacy, legal and ethical issues, appropriate ICT and provider infrastructure and costs in general aspects and interoperability, human relationships, types of mobile devices and telecommunication related points in specific aspects. The successful implementation of mobile-based systems in cancer care management will constantly face many challenges. Hence, in applying mobile cancer care, involvement of users and considering their needs in all phases of project, providing adequate bandwidth, preparation of standard tools that provide maximum mobility and flexibility for users, decreasing obstacles to interrupt network communications, and using suitable communication protocols are essential. It is obvious that identifying and reducing barriers and strengthening the positive points will have a significant role in appropriate planning and promoting the achievements of mobile cancer care systems. The aim of this article is to explain key points which should be considered in designing appropriate mobile health systems in cancer care as an approach for improving cancer care management.

• Research in Community and Public Health Nursing
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• v.32 no.2
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• pp.150-161
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• 2021

Purpose: The purpose of this study was to develop a mobile health lifestyle program for university students and to verify its effectiveness. Methods: The program was developed based on Jung's teaching-learning system design model. The research used a non-equivalent control group pretest-posttest non-synchronized design. Data were collected from October 20 to December 5, 2018. To verify the effects of the program, the knowledge, self-efficacy, and intention to plan health lifestyle and health lifestyle behavior were measured. A two hour health lecture and a mobile health lifestyle program were delivered for 3 weeks to 23 students in the experimental group. 19 students in the control group received only a two hour health lecture. Results: The experimental group showed significantly higher scores on knowledge (F=4.63, p=.038), intention to plan health lifestyle (F=14.44, p<.001), and health lifestyle behavior (F=46.80, p<.001). However, the score on self-efficacy was not significantly different (F=2.65, p=.112). Conclusion: It was confirmed that the mobile health lifestyle program can be useful in increasing the level of knowledge, intention and behavior of health lifestyle among university students. Therefore, the mobile health lifestyle application can be used as a supporting resource to enhance the health promotion for university students.