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Corrigendum: Qualitative Analysis of Tele-healthcare Systems based on the Diffusion of Innovation Model
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Myung Soon Kwon, Ghee Young Noh, Ji Hye Jang
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J Korean Acad Community Health Nurs. 2017;28(3):357-357. Published online September 30, 2017
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DOI: https://doi.org/10.12799/jkachn.2017.28.3.357
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 Abstract
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- This erratum is being published to correct the co-authors errors.
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Qualitative Analysis of Tele-healthcare Systems based on the Diffusion of Innovation Model
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Myung Soon Kwon, Ji Hye Jang
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J Korean Acad Community Health Nurs. 2017;28(2):129-143. Published online June 30, 2017
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DOI: https://doi.org/10.12799/jkachn.2017.28.2.129
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Abstract
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- PURPOSE
The purpose of this study is to explore factors which influence adoption, implementation and continued use of tele-healthcare systems.
METHODS
Qualitative research was conducted by in-depth interviews with 17 professionals from various fields of organizations involved in developing and implementing tele-healthcare systems. Data were analysed thematically, using a conceptual model of diffusion of innovations.
RESULTS
The system users were reacted positively to the 3 attributes out of 9 which decided the adoption of innovation. In addition, it is required to redesign the tele-health care system simpler and easier so that the system users can access to the system much more easily regardless of space and time limitations. From the design stage on an individual level, it is necessary to conduct detailed needs analysis and listen to users who are at the center of innovation diffusion. On an organizational level, it is necessary to actively prepare for possible problems during system implementation, educate the users and build communication channels continuously.
CONCLUSION
This study has identified the factors affecting the innovation of tele-health care systems and contributed to the understanding of the operation of tele-health care systems by the diffusion of innovation theory in community health posts.
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Citations
Citations to this article as recorded by  - Tele-Treatment Application Design for Disable Patients with Wireless Sensors
Alberto Arteta Albert, Luis Fernando de Mingo López, Nuria Gómez Blas
Applied Sciences.2020; 10(3): 1142. CrossRef - A study on the experience of mHealth based on health belief model: Focus group interview
Na Young Park, Jeong Hae Hwang, Yun-Kyoung Choi, Seong-Hi Park, Yeon Kyung Lee
Korean Journal of Health Education and Promotion.2019; 36(3): 97. CrossRef
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