dataset of tongji hospital
A shortage of beds and cross-infection in hospitals due to patient crowding and overloading during the COVID-19 pandemic necessitate the use of telemedicine over face-to-face treatment. This study used statistical analysis to evaluate the impact of treatment choice among hospitals, patients, and the government to encourage them to employ telemedicine to avoid overload risk in the IoT environment during the pandemic by analyzing data from Tongji Hospital of Wuhan, China from January to September 2020. We then analyzed the patients’ choice of medical treatment, evolution process, and influencing factors of the corresponding hospital overload risk by transforming the game model into a cusp catastrophe model. Finally, a tripartite cooperative game model was used to establish a cooperative mechanism in which patients, hospitals, and the government jointly accepted telemedicine to avoid overload risks.
The data was collected from Tongji Hospital of Wuhan, China from January to September 2020. Specificly, it is mainly on the number of telemedicine orders and face-to-face treatment orders in Tongji Hospital from January 24 to September 30, 2020.