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Optimizing Hospital's Wechat Public Subscription Based on Boston Matrix
Author(s): ZHENG Jian, SHAO Xiao-feng
Pages: 15-
17
Year: 2016
Issue:
2
Journal: Hospital Management Forum
Keyword: Boston matrix; Wechat public subscription; Optimization;
Abstract: This article summarized the pushing data from the Wechat public subscription which was set up by Peking University People's Hospital to carry out health education on patient and the public, and analyzed the data with Boston matrix. It is found that the health news could be classified into "large page views and large praising quantity", "large page views but small praising quantity", "small page views and large praising quantity" and "small page views and small praising quantity". We suggest increasing manuscripts with the clinical departments, optimizing the news from readers' view, improving title structures and merging knowledge to increase the page views and the praising quantity so as to improve the influence of hospital's Wechat public subscription.
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