Non-uniform relative stability model of pre-hospital medical based on spatial big data

Abstract

Dividing a region into grids or equally divided cells is usually the model basis for considering the allocation of pre-hospital emergency resources, such as first-aid sites and emergency vehicles, i.e., pre-hospital homogenization model. So far, it is still our basic thinking to understand the problem of pre-hospital resources based on the homogenization model. This paper mainly takes the Shenzhen Baoan People′s Hospital pre-hospital department as the observation object. By means of data analysis, three spatial data characteristics of pre-hospital medical are proposed, i.e. non-uniform, relative stability, and individual difference. These three characteristics provide us with a new method and a new basis for decision making. In this paper, based on the pre-hospital characteristic, a modeling method of non-uniform relative stability model is proposed, and the optimized distribution of hospital site is discussed by applying planning mathematics.

Keywords

• pre-hospital medical
• FMC position
• non-uniform
• relatively stable
• optimum planning
• big data