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A Simulation Model for Bioterrorism Preparedness in An Emergency Room Lisa Patvivatsiri Department of Industrial Engineering Texas Tech University Presented by Hoang Bui Computer Science Department Midwestern State University
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Overview Introduction Why uses simulation? Emergency room process Simulation model Experimental scenario analysis Question
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Introduction Bioterrorism threats after 9/11/2001 Requirement for a quick response plan Lack of prior knowledge
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Why uses simulation? Validity Real-time processing User interface Flexibility Easy to use
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Emergency room process Medium size hospital in Lubbock, Texas Some definitions: ◦ Pod: a section in the ER Pod A: 19 beds Pod B: 12 beds Pod C: 10 beds 19 additional beds in hall way Severe patients Serious injured patients Walking-wounded patients Charge nurses
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Emergency room process
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Arrival process Walk-In Patient ◦ 723 patients per week ◦ IAT = 13.94 minutes Ambulance ◦ 5 patients per day ◦ IAT = 288 minutes Helicopter ◦ 1 per week ◦ IAT = 10080 minutes
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Triage and Pod assignment Walk-In patient: ◦ Go in to triage process 4 triage nurses Service time: triangular distribution(20,23,25) ◦ Send to Pod A, B or C Ambulance and Helicopter patient: ◦ Send to Pod A
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Treatment process Resource: ◦ Pod C: 11:00AM – 11:00 PM ◦ 6 treatment nurses per pod ◦ 3 shared medical doctors Bedside registration by a charge nurse Initial assessment by a treatment nurse MD evaluation ◦ 86 of 723 patients require further lab test
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Treatment process
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Simulation model
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Software: ◦ Flexsim 2.6 ◦ Input and output spreadsheet in Excel 2003 Assumption: ◦ Testing equipment is not included ◦ Testing time is triangular distribution(95,156,192) ◦ Doctors and nurses in Pod C work overtime ◦ A patient releases his bed only when leaving
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Simulation model Validation and Verification ◦ Meet frequently with E.R. director and staff ◦ Data collected by E.R. supervisor ◦ 7 days warm-up follow by 30 days run ◦ 10 replications ◦ Average time in system:202.42 minutes(simulation) vs. 207.42 minutes (actual)
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Experimental scenario analysis Outbreak of contagious disease: ◦ 432 people are infected during 72 hours ◦ Addition patients every 10 minutes during 1 st 72 hours
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Experimental scenario analysis
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Proposed new strategy ◦ Move 10 beds from Pod A to Pod B, and 12 beds in the hallway to Pod C ◦ Move 2 treatment nurses from Pod A to Pod C ◦ Add 4 treatment nurses to Pod B ◦ Add 2 more MD
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Experimental scenario analysis
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Questions
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Reference A Simulation Model for Bioterrorism Preparedness in An Emergency Room by Lisa Patvivatsiri, In Proceedings of the 2006 Winter Simulation Conference.
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