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Accepted for/Published in: JMIR Medical Informatics

Date Submitted: Apr 7, 2020
Date Accepted: Apr 23, 2020

The final, peer-reviewed published version of this preprint can be found here:

Medical Emergency Resource Allocation Model in Large-Scale Emergencies Based on Artificial Intelligence: Algorithm Development

Du L

Medical Emergency Resource Allocation Model in Large-Scale Emergencies Based on Artificial Intelligence: Algorithm Development

JMIR Med Inform 2020;8(6):e19202

DOI: 10.2196/19202

PMID: 32584262

PMCID: 7381036

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Algorithmic Solution of Medical Emergency Resource Allocation Model Based on Artificial Intelligence in Large-scale Emergencies

  • Lin Du

ABSTRACT

Background:

Before major emergencies occur, the government should prepare various emergency supplies in advance. The government should consider the coordinated storage of different types of materials while ensuring that emergency materials are not missed or superfluous.

Objective:

In order to improve the dispatch and transportation efficiency of emergency materials, the government should make full use of the Internet of Things technology and artificial intelligence technology, and should fully consider the problem of matching transportation of different types of materials and related rescuers.

Methods:

The article establishes a model for emergency material preparation and dispatch based on queuing theory, and further establishes a workflow system for emergency material preparation, dispatch, and transportation based on Petri nets, resulting in a highly efficient emergency material preparation and dispatch Simulation system framework. It can effectively coordinate the work flow of emergency material preparation and dispatch, so that it can help shorten the total time of emergency material preparation, dispatch and transportation.

Results:

Established a model for emergency material preparation and dispatch based on queuing theory, and further established a workflow system for emergency material preparation, dispatch and transportation based on Petri net.A decision support platform based on ASP.NET and SQL Server is designed to integrate all the algorithms and principles proposed in the full text.

Conclusions:

Established a model for emergency material preparation and dispatch based on queuing theory, and further established a workflow system for emergency material preparation, dispatch and transportation based on Petri net, and then simplified it reasonably Finally, a simulation system framework for emergency material preparation and dispatch with high operating efficiency is formed. It can effectively coordinate the work flow of emergency material preparation and dispatch, so that it can help shorten the total time of emergency material preparation and dispatch. This paper also writes an interface to the model solution software on the decision support platform, so that this decision support platform integrates all the principles and algorithms of emergency materials financing and transportation proposed in this paper.


 Citation

Please cite as:

Du L

Medical Emergency Resource Allocation Model in Large-Scale Emergencies Based on Artificial Intelligence: Algorithm Development

JMIR Med Inform 2020;8(6):e19202

DOI: 10.2196/19202

PMID: 32584262

PMCID: 7381036

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