Design of a WeChat Learning Platform for Syndrome Differentiation
ABSTRACT: Objective To design a WeChat mini program called Chinese Syndrome Differentiation Learning Platform (CSDLP) on smartphone to improve health literacy.Methods The developer tools of WeChat (Version: v1.01.170925) were used for designing and debugging the mini program. SPSS17.0 was used for s...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2018-06-01
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| Series: | Digital Chinese Medicine |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589377719300199 |
| _version_ | 1818133750432661504 |
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| author | Wen-Xiang Deng Jian-Ping Zhu Ying-Jiao Liu Yi-Ge Zhang Hui-Yong Huang Wen-An Zhang |
| author_facet | Wen-Xiang Deng Jian-Ping Zhu Ying-Jiao Liu Yi-Ge Zhang Hui-Yong Huang Wen-An Zhang |
| author_sort | Wen-Xiang Deng |
| collection | DOAJ |
| description | ABSTRACT: Objective To design a WeChat mini program called Chinese Syndrome Differentiation Learning Platform (CSDLP) on smartphone to improve health literacy.Methods The developer tools of WeChat (Version: v1.01.170925) were used for designing and debugging the mini program. SPSS17.0 was used for statistical purposes. “View container”“Basic content”“Form component”“Navigation” and “Media components” were used for the development of the WeChat mini program. The detailed method was referred to https://mp.weixin.qq.com/debug/wxadoc/dev/.Results A WeChat mini program called CSDLP was developed. This program has three major functions which are WeChat reading, WeChat class and WeChat syndrome differentiation. The official test report showed that there were no functionality errors for the seven android smartphones (referred to as A, B, C, D, E, F and G) that CSDLP was tested on. Statistical analysis results showed that the average memory in D, E, F and G was lower than in A, B and C. Average ratio was the highest in F and the lowest in G. The average loading time was the same for all smartphones. The audio database for diagnostics using traditional Chinese medicine (TCM) and a lecture video database were based on diagnostic textbook. Our team built a syndrome differentiation database which included 51 diseases.Conclusion CSDLP can improve knowledge visualization, studying process, and information sharing in terms of the training and development of new techniques for syndrome differentiation and treatment in TCM, and it can provide a better illustration for people to understand TCM. Keywords: Syndrome differentiation and treatment, Learning platform, Smartphone, WeChat Program |
| first_indexed | 2024-12-11T08:57:41Z |
| format | Article |
| id | doaj.art-b520a18e3d9748cd8aa7f7176bf950a5 |
| institution | Directory Open Access Journal |
| issn | 2589-3777 |
| language | English |
| last_indexed | 2024-12-11T08:57:41Z |
| publishDate | 2018-06-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Digital Chinese Medicine |
| spelling | doaj.art-b520a18e3d9748cd8aa7f7176bf950a52022-12-22T01:13:51ZengKeAi Communications Co., Ltd.Digital Chinese Medicine2589-37772018-06-0112143154Design of a WeChat Learning Platform for Syndrome DifferentiationWen-Xiang Deng0Jian-Ping Zhu1Ying-Jiao Liu2Yi-Ge Zhang3Hui-Yong Huang4Wen-An Zhang5Hunan University of Chinese Medicine, Changsha, Hunan 410208, China; TCM Diagnostic Institute, Hunan University of Chinese Medicine, Changsha, Hunan 410208, ChinaHunan University of Chinese Medicine, Changsha, Hunan 410208, ChinaHunan University of Chinese Medicine, Changsha, Hunan 410208, China; School of Pharmacy, Hunan University of Chinese Medicine, Changsha, Hunan 410208, ChinaZhuhai Meianjaiyi Health Industry Investment Management Co., Ltd, Zhuhai, Guangdong 519000, ChinaHunan University of Chinese Medicine, Changsha, Hunan 410208, China; TCM Diagnostic Institute, Hunan University of Chinese Medicine, Changsha, Hunan 410208, ChinaZhuhai Meianjaiyi Health Industry Investment Management Co., Ltd, Zhuhai, Guangdong 519000, ChinaABSTRACT: Objective To design a WeChat mini program called Chinese Syndrome Differentiation Learning Platform (CSDLP) on smartphone to improve health literacy.Methods The developer tools of WeChat (Version: v1.01.170925) were used for designing and debugging the mini program. SPSS17.0 was used for statistical purposes. “View container”“Basic content”“Form component”“Navigation” and “Media components” were used for the development of the WeChat mini program. The detailed method was referred to https://mp.weixin.qq.com/debug/wxadoc/dev/.Results A WeChat mini program called CSDLP was developed. This program has three major functions which are WeChat reading, WeChat class and WeChat syndrome differentiation. The official test report showed that there were no functionality errors for the seven android smartphones (referred to as A, B, C, D, E, F and G) that CSDLP was tested on. Statistical analysis results showed that the average memory in D, E, F and G was lower than in A, B and C. Average ratio was the highest in F and the lowest in G. The average loading time was the same for all smartphones. The audio database for diagnostics using traditional Chinese medicine (TCM) and a lecture video database were based on diagnostic textbook. Our team built a syndrome differentiation database which included 51 diseases.Conclusion CSDLP can improve knowledge visualization, studying process, and information sharing in terms of the training and development of new techniques for syndrome differentiation and treatment in TCM, and it can provide a better illustration for people to understand TCM. Keywords: Syndrome differentiation and treatment, Learning platform, Smartphone, WeChat Programhttp://www.sciencedirect.com/science/article/pii/S2589377719300199 |
| spellingShingle | Wen-Xiang Deng Jian-Ping Zhu Ying-Jiao Liu Yi-Ge Zhang Hui-Yong Huang Wen-An Zhang Design of a WeChat Learning Platform for Syndrome Differentiation Digital Chinese Medicine |
| title | Design of a WeChat Learning Platform for Syndrome Differentiation |
| title_full | Design of a WeChat Learning Platform for Syndrome Differentiation |
| title_fullStr | Design of a WeChat Learning Platform for Syndrome Differentiation |
| title_full_unstemmed | Design of a WeChat Learning Platform for Syndrome Differentiation |
| title_short | Design of a WeChat Learning Platform for Syndrome Differentiation |
| title_sort | design of a wechat learning platform for syndrome differentiation |
| url | http://www.sciencedirect.com/science/article/pii/S2589377719300199 |
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