SURF: identifying and allocating resources during Out-of-Hospital Cardiac Arrest.
Background: When an Out-of-Hospital Cardiac Arrest (OHCA) incident is reported to emergency services, the 911 agent dispatches Emergency Medical Services to the location and activates responder network system (RNS), if the option is available. The RNS notifies all the registered users in the vicinit...
| Publicado en: | BMC Medical Informatics & Decision Making Vol. 20; no. 1; pp. 1 - 16 |
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| Autores principales: | , , , , |
| Formato: | research Journal Article |
| Publicado: |
BioMed Central
12/30/2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=147837913&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 147837913 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14726947 1CI0 jtl: BMC Medical Informatics & Decision Making issn: 14726947 maglogo: N pubinfo: dt: 12/30/2020 vid: 20 iid: 1 pid: 24147 pub: BioMed Central artinfo: ui: 147837913 147837913 NLM33380330 147837913 10.1186/s12911-020-01334-4 NLM33380330 147837913 ppf: 1 ppct: 15 formats: tig: atl: SURF: identifying and allocating resources during Out-of-Hospital Cardiac Arrest. aug: au: Rao, Gaurav Choudhury, Salimur Lingras, Pawan Savage, David Mago, Vijay affil: Department of Mathematics and Computing Science, Saint Mary's University, Halifax, CA, USA sug: subj: Emergency Medical Services Human Defibrillators Validation Studies Comparative Studies Evaluation Research Multicenter Studies ab: Background: When an Out-of-Hospital Cardiac Arrest (OHCA) incident is reported to emergency services, the 911 agent dispatches Emergency Medical Services to the location and activates responder network system (RNS), if the option is available. The RNS notifies all the registered users in the vicinity of the cardiac arrest patient by sending alerts to their mobile devices, which contains the location of the emergency. The main objective of this research is to find the best match between the user who could support the OHCA patient.Methods: For performing matching among the user and the AEDs, we used Bipartite Matching and Integer Linear Programming. However, these approaches take a longer processing time; therefore, a new method Preprocessed Integer Linear Programming is proposed that solves the problem faster than the other two techniques.Results: The average processing time for the experimentation data was 1850 s using Bipartite matching, 32 s using the Integer Linear Programming and 2 s when using the Preprocessed Integer Linear Programming method. The proposed algorithm performs matching among users and AEDs faster than the existing matching algorithm and thus allowing it to be used in the real world.Conclusion: This research proposes an efficient algorithm that will allow matching of users with AED in real-time during cardiac emergency. Implementation of this system can help in reducing the time to resuscitate the patient. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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