Revision to the routing protocol and or reallocation of resources from one Stroke Hospital to another.
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Get it written →Revision to the routing protocol and or reallocation of resources from one Stroke Hospital to another. To analyze the status quo, she uses the population of Toronto in 2016 that was 2,732,139, see the data source in Statistics (2019). The City of Toronto in Ontario, depicted in Exhibit 3, is dividedinto96 regions The breakdown of Toronto population in each region is presented in Exhibit 4. Emma has prepared, in Exhibit 5, the GPS traveltime of ambulancefromeach regionto each of the existingsix Stroke Hospitals in the City of Toronto. She further assumes . The numberof strokesin Canadain 2019 has been 50,000 and the populationof Canadais 35M. Then the demandratefor strokehospitalsin each regionis commensurates its populationdivided by the Canadapopulationand then multipliedby the annualnumberof strokepatientsin Canada Accordingto this calculation the regional demand rate of strokepatientsis providedn Exhibit 4. . The averageGPS traveltimefor patientsin each regionto a StrokeHospitalis identicalandindepen dent of time of day. Analysis and policy recommendations Emma is thinkingthat a highlevel queueingapproachcould capturethe tradeoff betweenambulance routingprotocolsand variability(in serviceandarrivals. She needsto providepoliciesthatmayimprove thestatusquoas soonas possible As over98% of strokepatientsarriveto hospitalsvia ambulancesEmma assumesthatall strokepatientsarriveto strokehospitalsvia ambulances Analysis of the system before COVID-19 Emmaconsidersthe followingsteps 1. Use the GPS traveltime (Exhibit 5) to findthe regionsassignedto eachstrokehospital Calculatethe demandarrivalratesfor eachstrokehospital d ). 2. Assumethatthereare30 bedsin eachstrokehospitalandthattheaverageflowtimeof strokepatients in ICU bedsis twoweeks(i.e., 1/M ). Calculatethe utilizationof each strokehospital( X/ (30 * /4)) and reflecton the implicationandcausesof theseutilizations 3. Calculateand discussthe averagewait time in queueand in the system for each stroke hospital assumingcoefficientof variation(CV) equalto 1 for both the arrivalandserviceprocesses
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