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dc.contributor.authorMoultrie, Chris
dc.contributor.authorCorfield, Alasdair
dc.contributor.authorPell, J.
dc.contributor.authorMackay, Daniel
dc.date.accessioned2021-09-03T13:55:27Z
dc.date.available2021-09-03T13:55:27Z
dc.date.issued2017-05-21
dc.identifier.citationMoultrie, C.E.J., et al, 2017. Forecasting the demand profile for a physician-led pre-hospital care service using a mathematical model. BMJ Open,7 (Suppl. 3), 46.en_US
dc.identifier.issn2055-6055
dc.identifier.doi10.1136/bmjopen-2017-EMSabstracts.46
dc.identifier.urihttp://hdl.handle.net/20.500.12417/1178
dc.description.abstractWe aimed to investigate if a queueing-theory derived, stochastic, computerised mathematical model could accurately predict the number and seasonal pattern of primary pre-hospital missions undertaken by a physician-led pre-hospital and retrieval service in 2016. https://bmjopen.bmj.com/content/7/Suppl_3/A18.2.info This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. http://creativecommons.org/licenses/by-nc/4.0/ DOI http://dx.doi.org/10.1136/bmjopen-2017-EMSabstracts.46
dc.language.isoenen_US
dc.subjectEmergency Medical Servicesen_US
dc.subjectPre-hospital Careen_US
dc.subjectForecastingen_US
dc.subjectModels, Theoreticalen_US
dc.subjectAdvance Care Planningen_US
dc.titleForecasting the demand profile for a physician-led pre-hospital care service using a mathematical modelen_US
dc.source.journaltitleBMJ Openen_US
dcterms.dateAccepted2021-08-20
rioxxterms.versionNAen_US
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden_US
rioxxterms.licenseref.startdate2021-08-20
rioxxterms.typeConference Paper/Proceeding/Abstracten_US
refterms.panelUnspecifieden_US
refterms.dateFirstOnline2017-05-21
html.description.abstractWe aimed to investigate if a queueing-theory derived, stochastic, computerised mathematical model could accurately predict the number and seasonal pattern of primary pre-hospital missions undertaken by a physician-led pre-hospital and retrieval service in 2016. https://bmjopen.bmj.com/content/7/Suppl_3/A18.2.info This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. http://creativecommons.org/licenses/by-nc/4.0/ DOI http://dx.doi.org/10.1136/bmjopen-2017-EMSabstracts.46en_US


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