TY - JOUR
T1 - Computer modeling of emergency medical system performance
AU - Valenzuela, Terence D.
AU - Goldberg, Jeffery
AU - Keeley, Kevin T.
AU - Criss, Elizabeth A.
PY - 1990/8
Y1 - 1990/8
N2 - Emergency medical services (EMS) system managers face difficult problems when determining the need for system expansion and unit deployment. Information relevant to the decision is often limited and frequently not in a usable format. This lack of usable information often results in decisions that create less-than-optimal EMS systems. A constant search for greater efficiency prompted the development of a computer simulation model to analyze the current EMS system operated by the Tucson Fire Department and to provide statistical information on the effects of potential vehicle base locations on system performance. The simulation model generates data that reflect a variety of parameters necessary in base location analysis. Included in the performance statistics for each unit and for the entire system are indicators of unit use rates, minimum and maximum response times, and proportion of calls reached within the critical response time of eight minutes or less. The model has been carefully validated and used in unit redeployment and unit activation in Tucson, Arizona.
AB - Emergency medical services (EMS) system managers face difficult problems when determining the need for system expansion and unit deployment. Information relevant to the decision is often limited and frequently not in a usable format. This lack of usable information often results in decisions that create less-than-optimal EMS systems. A constant search for greater efficiency prompted the development of a computer simulation model to analyze the current EMS system operated by the Tucson Fire Department and to provide statistical information on the effects of potential vehicle base locations on system performance. The simulation model generates data that reflect a variety of parameters necessary in base location analysis. Included in the performance statistics for each unit and for the entire system are indicators of unit use rates, minimum and maximum response times, and proportion of calls reached within the critical response time of eight minutes or less. The model has been carefully validated and used in unit redeployment and unit activation in Tucson, Arizona.
KW - EMS system, computer modeling
KW - computer modeling, EMS system
UR - http://www.scopus.com/inward/record.url?scp=0025358602&partnerID=8YFLogxK
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U2 - 10.1016/S0196-0644(05)81565-3
DO - 10.1016/S0196-0644(05)81565-3
M3 - Article
C2 - 2372172
AN - SCOPUS:0025358602
SN - 0196-0644
VL - 19
SP - 898
EP - 901
JO - Annals of emergency medicine
JF - Annals of emergency medicine
IS - 8
ER -