Medical Emergency Resource Allocation Model in Large-Scale Emergencies Based on Artificial Intelligence: Algorithm Development.
artificial intelligence
distribution model
large-scale emergencies
medical emergency
resource allocation model
Journal
JMIR medical informatics
ISSN: 2291-9694
Titre abrégé: JMIR Med Inform
Pays: Canada
ID NLM: 101645109
Informations de publication
Date de publication:
25 Jun 2020
25 Jun 2020
Historique:
received:
07
04
2020
accepted:
23
04
2020
revised:
22
04
2020
entrez:
26
6
2020
pubmed:
26
6
2020
medline:
26
6
2020
Statut:
epublish
Résumé
Before major emergencies occur, the government needs to prepare various emergency supplies in advance. To do this, it should consider the coordinated storage of different types of materials while ensuring that emergency materials are not missed or superfluous. This paper aims to improve the dispatch and transportation efficiency of emergency materials under a model in which the government makes full use of Internet of Things technology and artificial intelligence technology. The paper established a model for emergency material preparation and dispatch based on queueing theory and further established a workflow system for emergency material preparation, dispatch, and transportation based on a Petri net, resulting in a highly efficient emergency material preparation and dispatch simulation system framework. A decision support platform was designed to integrate all the algorithms and principles proposed. The resulting framework can effectively coordinate the workflow of emergency material preparation and dispatch, helping to shorten the total time of emergency material preparation, dispatch, and transportation.
Sections du résumé
BACKGROUND
BACKGROUND
Before major emergencies occur, the government needs to prepare various emergency supplies in advance. To do this, it should consider the coordinated storage of different types of materials while ensuring that emergency materials are not missed or superfluous.
OBJECTIVE
OBJECTIVE
This paper aims to improve the dispatch and transportation efficiency of emergency materials under a model in which the government makes full use of Internet of Things technology and artificial intelligence technology.
METHODS
METHODS
The paper established a model for emergency material preparation and dispatch based on queueing theory and further established a workflow system for emergency material preparation, dispatch, and transportation based on a Petri net, resulting in a highly efficient emergency material preparation and dispatch simulation system framework.
RESULTS
RESULTS
A decision support platform was designed to integrate all the algorithms and principles proposed.
CONCLUSIONS
CONCLUSIONS
The resulting framework can effectively coordinate the workflow of emergency material preparation and dispatch, helping to shorten the total time of emergency material preparation, dispatch, and transportation.
Identifiants
pubmed: 32584262
pii: v8i6e19202
doi: 10.2196/19202
pmc: PMC7381036
doi:
Types de publication
Journal Article
Langues
eng
Pagination
e19202Informations de copyright
©Lin Du. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 25.06.2020.
Références
Cleve Clin J Med. 2017 Jun;84(6):457-462
pubmed: 28628427
J Int Soc Prev Community Dent. 2017 Nov-Dec;7(6):364-369
pubmed: 29387622
Psychiatr Clin North Am. 2017 Sep;40(3):411-423
pubmed: 28800798
N Engl J Med. 2016 Jan 21;374(3):292
pubmed: 26789896
Fortschr Neurol Psychiatr. 2017 Jul;85(7):400-409
pubmed: 28768348