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Improving Self-diet Management of Chronic Kidney Disease Patients Through Chatbots

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Human Aspects of IT for the Aged Population. Technology in Everyday Living (HCII 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13331))

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Abstract

The purpose of this study is to focus on patients with chronic kidney disease mainly. Through technological services and education, the LINE APP platform is used to build a chatbot for intervention so that patients with kidney disease can use the mobile phone LINE chatbot to conduct diet management and patient education. The research results show that chatbots are not limited by any time and place, simplify the content of inquiries in a streamlined manner, improve efficiency and shorten waiting time, and do not need to install another app. Compared with other applications, chatbots are online, and it is the most familiar interface for users. The functions of blood pressure record browsing, diet query, diet record, and health education knowledge can help patients with chronic diseases reduce harmful effects caused by the disease and record blood pressure to stabilize and control the disease. Moreover, the line chatbots can cooperate with the active promotion of health care knowledge and passively allow users to inquire about dietary knowledge, help chronic disease patients improve medical care knowledge, improve lousy eating habits, and improve the quality of life.

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Acknowledgements

The authors hereby extend sincere thanks to Ministry of Science and Technology (MOST) of the Republic of China (Taiwan, ROC) for their financial support of this research, whose project code is MOST 110-2410-H-224-017-. It is thanks to the generous patronage of MOST that this study has been smoothly performed.

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Authors and Affiliations

  1. Department of Creative Design, National Yunlin University of Science and Technology, Douliu, Yunlin, 640, Taiwan

    Wang-Chin Tsai & Jen-Yu Tsai

  2. Renal Division, Department of Internal Medicine, National Taiwan University Hospital, Yunlin Branch, Yunlin, Taiwan

    Wen-Yi Li & Jieng-Sheng Yang

  3. College of Medicine, National Taiwan University, Taipei, Taiwan

    Wen-Yi Li & Jieng-Sheng Yang

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  1. Wang-Chin Tsai
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  2. Wen-Yi Li
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  3. Jen-Yu Tsai
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  4. Jieng-Sheng Yang
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Corresponding author

Correspondence to Wang-Chin Tsai .

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Editors and Affiliations

  1. Tsinghua University, Beijing, China

    Qin Gao

  2. Chongqing University, Chongqing, China

    Jia Zhou

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Tsai, WC., Li, WY., Tsai, JY., Yang, JS. (2022). Improving Self-diet Management of Chronic Kidney Disease Patients Through Chatbots. In: Gao, Q., Zhou, J. (eds) Human Aspects of IT for the Aged Population. Technology in Everyday Living. HCII 2022. Lecture Notes in Computer Science, vol 13331. Springer, Cham. https://doi.org/10.1007/978-3-031-05654-3_18

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  • DOI: https://doi.org/10.1007/978-3-031-05654-3_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-05653-6

  • Online ISBN: 978-3-031-05654-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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