• International Journal of Contents
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• v.14 no.1
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• pp.7-11
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• 2018

Digital technology has been changing everyday life of ordinary people let alone the structure of world industry. The elderly care service is also going through changes influenced by the unavoidable impact from torrents of digital technologies. There are numerous reports and news about the digital technologies increasing the efficiency and effectiveness of care service yet lacking systematic understanding of the sources of such improvement. This study aims to present a new classification framework for digital elderly care service innovation to fully utilize the power of digital technologies drawing on insights from innovation studies and service studies. First, 4 features of digital technologies are identified as sources of new value in service innovation. The co-creation of value by users and producers in service and technology development is discussed to illuminate users' contributions to service innovation. Communication of needs and ideas with producers and application of new technologies into everyday practice of life are identified as the source of new value which can be attributed to the elderly. Customization along with efficiency gains is the key to digital elderly care service innovation. The classification framework, thus, incorporates the needs of the elderly as one axis of criteria in the conventional technology-centered framework. The new classification framework would help give due weight to user-driven or demand-driven innovation in the elderly care service R&D activities.

• The Journal of Information Systems
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• v.33 no.2
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• pp.191-218
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• 2024

Purpose This study aims to investigate the relationship between digital literacy and the acceptance of care robots, as well as the mediating role of technology self-efficacy in this relationship. The findings of this research aim to provide foundational data for enhancing older adults' acceptance of new technologies, underscore the significance of bolstering older adults' digital literacy in relation to the adoption of care robot technology, and offer evidence to support interventions aimed at improving technology self-efficacy. Design/methodology/approach This study seeks to investigate the mediating effect of technology self-efficacy on the relationship between digital literacy and acceptance of care robot technology among older adults. Kyunghee University's '2022 Korean Senior Technology Acceptance Panel Survey' was used, targeting 509 people aged 60 or older. Data analysis was performed using SPSS 20.0 software. Independent samples t-tests were used to characterize key variables of interest and correlation analysis was used to evaluate their relationships. To verify the mediation effect, mediation regression analysis along with the Sobel test was used. Findings The study found that improving older adults' digital literacy positively impacts their acceptance of care robot technology through enhanced technology self-efficacy. Active education and experience with digital devices are highlighted as crucial for enhancing older adults' sense of accomplishment and, consequently, their technology self-efficacy. The findings underscore the importance of programs and educational initiatives focused on enhancing digital literacy among older adults to boost technology self-efficacy and increase acceptance of care robot technology within this population.

• Archives of Obesity and Metabolism
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• v.1 no.2
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• pp.47-52
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• 2022

Digital therapeutics (DTx) are emerging as a novel solution to improve lifestyle and prevent non-communicable diseases. Obesity is a complex, multi-factorial, chronic condition that requires patient-centered lifestyle modification. DTx, such as mobile applications and wearables, may offer easily accessible, efficient, and personalized care in the field of obesity and metabolic diseases. Yet, there is controversy over its clinical usefulness. This review will provide a comprehensive overview of DTx, including its potential role and current limitation in obesity care, based on recent literature.

• Industry Promotion Research
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• v.7 no.3
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• pp.17-26
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• 2022

As the well-being mindset to keep our minds and bodies free and healthy more than anything else in the society we live in is spreading, the meaning of health care has become a key part of the 4th industrial revolution such as big data, IoT, AI, and block chain. The advancement of the advanced medical information service industry is being promoted by utilizing convergence technology. In digital healthcare, the development of intelligent information technology such as artificial intelligence, big data, and cloud is being promoted as a digital transformation of the traditional medical and healthcare industry. In addition, due to rapid development in the convergence of science and technology environment, various issues such as health, medical care, welfare, etc., have been gradually expanded due to social change. Therefore, in this study, first, the general meaning and current status of digital health care medical information is examined, and then, developmental tasks to activate digital health care medical information are analyzed and reviewed. The purpose of this article is to improve usability to fully pursue our human freedom.

• Journal of the Korea Convergence Society
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• v.13 no.1
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• pp.313-323
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• 2022

The purpose of this study was to explore ways a digital therapeutics-based community care plans for the rehabilitation in dysarthria in a situation where non-face-to-face services are expanding in the COVID-19 era. To this end, a qualitative study was conducted on experts working in hospitals, speech-language pathology centers, and social welfare centers, and as a result of the study, 3 topics, 9 sub-themes, and 18 content units were derived. Based on the analysis results, the digital therapeutics-based community care model consisted of 9 types: remote diagnosis, telepractice, rehabilitation training program, peer supporters, clinical support, communication, psychosocial intervention, and care plan services. This study will be able to provide basic data for health care & welfare services using digital therapeutics and guidelines for establishing shared care plans based on multidisciplinary cooperation.

• International journal of advanced smart convergence
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• v.8 no.3
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• pp.87-94
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• 2019

IoT-based services are being released in accordance with the aging population and the demand for well-being pursuit needs. In addition to medical device companies, companies with ideas ranging from global ICT companies to startup companies are accelerating their market entry. The areas where these services are most commonly applied are health/medical, life/safety, city/energy, automotive and transportation. Furthermore, by expanding IoT technology convergence into the area of life care services, it contributes greatly to the development of service models in the public sector. It also provides an important opportunity for IoT-related companies to open up new markets. By addressing the problems of life care services that are still insufficient. We are providing opportunities to pursue the common interests of both users and workers and improve the quality of life. In order to establish IoT-based digital life care services, it is necessary to develop convergence technologies using cloud computing systems, big data analytics, medical information, and smart healthcare infrastructure.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.12
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• pp.1826-1831
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• 2022

Rapid Aging Society demands the transformation of medical paradigm of diagnosis and treatment towards prevention and management. This paper explores the norm and development of digital health care, focusing on Busan Metropolitan City. Digital health care which combines new ICT technology and medical technology is predictive, preventive, personalized and participatory; and suggests alternative to solve the problem of demographic changes and increasing social cost of medical welfare. Community Health Center in Busan is unique one based in the minimum community of collecting data from self-leading health management. Digital transformation using basic health data and social information can build preventive care system in the community. Easy access leads community center to test bed of developing new technology, as a living lab. In order to use the newly developed goods and service effectively, user-participatory test is nicessary. Finally community nurse and activists can specify health-welfare converged service through digital transformation empowerment training.

• Journal of the Korea Convergence Society
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• v.13 no.1
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• pp.141-147
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• 2022

In a broad sense, the definition of digital health care is an industrial area that manages personal health and diseases through the convergence of the health care industry and ICT. In a narrow sense, various medical technologies are used to manage medical services to improve patient health. This paper aims to provide design guidelines so that artificial intelligence technology can be applied stably and efficiently to more diverse digital health care fields in the future by introducing use cases of artificial intelligence and machine learning techniques applied in the digital health care field. For this purpose, in this thesis, the medical field and the daily life field are divided and examined. The two regions have different data characteristics. By further subdividing the two areas, we looked at the use cases of artificial intelligence algorithms according to data characteristics and problem definitions and characteristics. Through this, we will increase our understanding of artificial intelligence technologies used in the digital health care field and examine the possibility of using various artificial intelligence technologies.

• Convergence Security Journal
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• v.19 no.3
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• pp.81-86
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• 2019

This study introduces trends on silver care implemented with the fourth industrial revolution technology, and discusses the use of digital technology for elderly health and rehabilitation by reviewing relevant literature to examine and present directions for future digital-based silver care commercialization. First, health smart home, which is a smart residential service available through digital technology or IT technology that supports independent living in your home, is available. Second, there are technical services using artificial intelligence(AI) and robots. Robots based on advanced intelligence can serve as an assistant for the health and rehabilitation of senior citizens by supporting services that enable the daily lives of senior, checking their health conditions, and high-quality medical care. For the commercialization of these silver care systems, information and services appropriate to the current situation, such as the physical ability and health status of the elderly, should be provided, and it would be desirable to gradually expand the use of essential technology to reflect the needs of the elderly in use so that the digital alienated.

• Journal of Industrial Convergence
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• v.20 no.9
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• pp.71-79
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• 2022

This study comprised a systematic review and meta-analysis to determine how digital health care to relieve depression of the elderly. The CINAHL, Embase, Medline, DBpia, KERIS, KISS and RISS were used. As a result of the systematic search, a total of 4,071 studies were assessed and six studies were ultimately selected based on the inclusion and exclusion criteria. Of these, a total of five studies were available for meta-analysis; the effect size was calculated. The effect size of digital health care was statistically significant in reducing depression(SMD=-4.73, 95% CI -7.44 to -2.01, Z=3.41, p=.0007). Since only web-based programs are included in the analysis among types of digital health care, we suggest that we consider ways to reduce depression in the elderly by applying various digital health care in the future.