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Optimum allocation for pre-hospital resource with big data analysis

  • Dou Qingli
  • , Zhang Wenwu*
  • , Zhu Huadong
  • , Xu Jun
  • , Chen Mufeng
  • , Miao Jungang
  • *Corresponding author for this work
  • Shenzhen University
  • Chinese Academy of Medical Sciences
  • Shenzhen Ujuya E-Tech Co
  • BUM

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)1196-1200
Number of pages5
JournalChinese Journal of Emergency Medicine
Volume26
Issue number10
DOIs
StatePublished - Oct 2017
Externally publishedYes

Keywords

  • Big data
  • FMC position
  • Non-uniform
  • Optimum planning
  • Pre-hospital medical
  • Relatively stable

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