TY - JOUR
T1 - Optimum allocation for pre-hospital resource with big data analysis
AU - Qingli, Dou
AU - Wenwu, Zhang
AU - Huadong, Zhu
AU - Jun, Xu
AU - Mufeng, Chen
AU - Jungang, Miao
PY - 2017/10
Y1 - 2017/10
N2 - Objective To This article mainly takes the Shenzhen Baoan people's Hospital pre-hospital department as the observation object, analyses the special site data distribution of pre-hospital, to realize optimum allocation for pre-hospital resource. Methods By means of the intelligentized ambulance, the Site data of the pre-hospital is obtaineed, so is the pm-hospital hot map. With the hot map, the special pre-hospital characteristics is researched. Results The three spatial data characteristics of pre-hospital medical are proposed, i. e. , non-uniform, relative stability, individual difference. Conclusions These three characteristics provide us with a new method and a new basis for decision making. In this paper, based on the pm-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.
AB - Objective To This article mainly takes the Shenzhen Baoan people's Hospital pre-hospital department as the observation object, analyses the special site data distribution of pre-hospital, to realize optimum allocation for pre-hospital resource. Methods By means of the intelligentized ambulance, the Site data of the pre-hospital is obtaineed, so is the pm-hospital hot map. With the hot map, the special pre-hospital characteristics is researched. Results The three spatial data characteristics of pre-hospital medical are proposed, i. e. , non-uniform, relative stability, individual difference. Conclusions These three characteristics provide us with a new method and a new basis for decision making. In this paper, based on the pm-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.
KW - Big data
KW - FMC position
KW - Non-uniform
KW - Optimum planning
KW - Pre-hospital medical
KW - Relatively stable
UR - https://www.scopus.com/pages/publications/85039838744
U2 - 10.3760/cma.j.issn.1671-0282.2017.10.022
DO - 10.3760/cma.j.issn.1671-0282.2017.10.022
M3 - 文章
AN - SCOPUS:85039838744
SN - 1671-0282
VL - 26
SP - 1196
EP - 1200
JO - Chinese Journal of Emergency Medicine
JF - Chinese Journal of Emergency Medicine
IS - 10
ER -