Monitoring mechanism for high group behavior based on the big data diagnosis-intervention packet / 中华医院管理杂志

ABSTRACT

One of the challenges to diagnosis-intervention packet is how to detect and avoid the institutional behavior of pursuing a higher score group. Based on the analysis method of big data, the authors analyzed the objective distribution characteristics of the treatment methods corresponding to a diagnosis, and compared the distribution of diseases with high and low scores in the region to find out the selection trend of treatment methods for the same diagnosis in various hospitals. Combined with hospital positioning, the authors found out whether there was a tendency of pursuing a higher score group. Scientific support will be provided for the reasonable payment of medical insurance expenses and the development planning of hospitals.