Study on the Hospital Health Care Service Model

Wen, Long Ri; Yang, Seung Min; Lee, Byung Mun

doi:10.14257/astl.2016.133.28

Cited by 2 publications

(3 citation statements)

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“…We developed a service platform for health management to be used in hospitals and applied the analyzed EMR system characteristics to the platform as well as integrating the medical information system and u -Health service environment [5] to maximize usefulness and convenience [4]. Implementation of the proposed platform was preceded by previous surveys of hospital service models [6], medical-IT fusion technology trends, and forecast depth research.…”

Section: Related Researchmentioning

confidence: 99%

“…U-Health includes a variety of bio-sensors and various forms of health information, from sensor components to intelligent platforms, case-based reasoning, PHR (personal health records), smart media and smart security technology [7]. Figure 1 [6] depicts biological information transfer, and it can leverage existing networks. There has been a lot of progress over the past ten years in terms of measuring biometric technology research and development, but analysis and reasoning techniques related to these biometrics are not yet in use.…”

Section: Mobile Health Care Service Modelmentioning

confidence: 99%

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A Mobile Healthcare Hospital Service Platform for Personal Health Information Management

Wen

Yang

Lee³

2017

IJBSBT

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Section: Related Researchmentioning

confidence: 99%

Section: Mobile Health Care Service Modelmentioning

confidence: 99%

A Mobile Healthcare Hospital Service Platform for Personal Health Information Management

Wen

Yang

Lee³

2017

IJBSBT

Self Cite

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“…The market for wearable healthcare is expected to expand as smart devices, healthcare, IoT capabilities, and the activation of each person's quantified self-movement all come together. The term "digital healthcare" refers to an integrated healthcare service that offers personal care services using information and communications technology (ICT) platform-based devices [6]. According to Martin, et al [7], the service measures each person's health status, among other things, using digital devices that together include the service provided by healthcare organizations or related professionals to improve human health.…”

Section: Introductionmentioning

confidence: 99%

Exploring the Factors Affecting the Continued Usage Intention of IoT-Based Healthcare Wearable Devices Using the TAM Model

Kang

Hwang

2022

Sustainability

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There have been many attempts to predict new markets, including a new market for internet of things (IoT)-based healthcare and the IoT platform’s ability to offer a variety of applications. It is anticipated that the market for these devices will continue to grow as the healthcare sector undergoes fast expansion. IoT can measure a user’s kinetic data (calorie consumption, distance, number of steps, etc.) using wearable healthcare equipment. Most of the recent top research on IoT-based healthcare wearable devices (IWHDs) has, up to this point, concentrated on potential users. The medical industry and healthcare are being quickly changed by the use and adoption of wearable healthcare devices. This study intended to uncover the mediating impacts of “perceived ease of use”, “perceived usefulness”, and “community immersion” on the interactions between influencing factors (personalization, service convenience, interactivity), and the intention to utilize IHWDs. The moderating role of a consumer’s innovativeness in the influence link between IHWD features on perceived ease of use and perceived usefulness was also examined. The study found that personalization has a direct (+) impact on usage intention. Through this, it would be feasible to raise the intention of wearable medical devices being accepted if customized benefits that are thoroughly examined just for individuals are supplied. The association between personalization and continued use intention was shown to be partially mediated by perceived utility and community immersion. Additionally, the association between interactivity and continued use intention, was fully mediated by perceived usefulness and community immersion. By analyzing the elements influencing the usage intention of wearable healthcare devices, this study offers a marketing plan to increase the number of users. The internet of medical things (IoMT) sector has had compound growth of approximately 26% from 2018 to 2021, which is a remarkable accomplishment. The effectiveness of factors affecting IoT usage was examined in this study when applied to the actual IoT industry. First, patients with diabetes who previously had to check their blood sugar levels through a blood test can now check it through lifestyle management and steady glucose monitoring through IoMT glucose monitoring when the convenience and individuality of the service are improved. So far, 10% of all Americans have benefited from this device. Second, as an illustration of interactivity, an IoMT-connected inhaler used to assist asthma sufferers with breathing, notifies the user when the inhaler is left at home and reminds them of appropriate times to use the device. This subsequently resulted in saving 1 life out of every 3 deaths. In addition, the findings of this study may also provide a turning point for the design and development of cutting-edge IoT-based healthcare goods and services.

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Study on the Hospital Health Care Service Model

Cited by 2 publications

References 0 publications

A Mobile Healthcare Hospital Service Platform for Personal Health Information Management

A Mobile Healthcare Hospital Service Platform for Personal Health Information Management

Exploring the Factors Affecting the Continued Usage Intention of IoT-Based Healthcare Wearable Devices Using the TAM Model

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