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An Analysis of Ambulance Response Times Across the State of Alabama

An Analysis of Ambulance Response Times Across the State of Alabama. Daniel M. Klein Faculty Sponsor: Dr. Allen Parrish Center for Advanced Public Safety. December 7, 2012. 106,000. Alabama injury crashes, Jan. 2009 – Aug. 2012. 6,000. Injury crashes with ambulance delay over 30 minutes.

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An Analysis of Ambulance Response Times Across the State of Alabama

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  1. An Analysis of Ambulance Response Times Across the State of Alabama Daniel M. Klein Faculty Sponsor: Dr. Allen Parrish Center for Advanced Public Safety • December 7, 2012

  2. 106,000 • Alabama injury crashes, Jan. 2009 – Aug. 2012 6,000 • Injury crashes with ambulance delay over 30 minutes 2,000 per year 12/7/12 -- EMS Analysis

  3. An Analysis of Ambulance Response Times Across the State of Alabama Daniel M. Klein Faculty Sponsor: Dr. Allen Parrish Center for Advanced Public Safety • December 7, 2012

  4. Background • Dataset: Alabama crashes from 2009 to August 2012 • Best reflects modern reality • Concept proposed by Dr. David Brown of Center for Advanced Public Safety (CAPS) • Shocking frequency of extended delays • Potential to save lives 12/7/12 -- EMS Analysis

  5. Research Goals city-data.com • Facilitate decision-making process • Extract actionable information from data • Illustrate with heat maps 12/7/12 -- EMS Analysis

  6. Critical Analysis Reporting Environment • Information mining capability – IMPACT • Extract information from data • Present results graphically and tabularly caps.ua.edu • Data analysis software package • Developed for traffic safety applications 12/7/12 -- EMS Analysis

  7. Adjusted Emergency Medical Services Arrival Delay (AEMSAD) al.com • EMS Delay variable not optimal • AEMSAD variable created for CARE warehouse • Better reflects reality • Helps extract valid information from imperfect data 12/7/12 -- EMS Analysis

  8. IMPACT Analysis • Executed IMPACT on all variables • Revealed variables correlated to higher AEMSAD • Designed AEMSAD GT 30 and LT 30 filters • AEMSAD greater or less than 30 minutes • Injury crashes involving EMS transport only 12/7/12 -- EMS Analysis

  9. IMPACT Results – Time of Day • 9 12/7/12 -- EMS Analysis

  10. Geographic Information Systems (GIS) Analysis esri.com • Locational data exported from CARE • Coordinate points with related variables • Data processed with ArcGIS • Heat map generation 12/7/12 -- EMS Analysis

  11. Heat Map Generation Process • Data exported from CARE into shapefile • Added to CARE base map of Alabama • Further data manipulation performed in ArcGIS • Clean data, Integrate and Collect Events, and Spatial Join • Finally create hot spots and interpolate 12/7/12 -- EMS Analysis

  12. Heat Map Result • Compares average AEMSAD values for given locations • Red indicates statistically higher delay, blue lower 12/7/12 -- EMS Analysis

  13. Next Steps caps.ua.edu • Performing more pinpointed analysis • Specific locales and routes • Empowering officials with information • Tactical and strategic decisions 12/7/12 -- EMS Analysis

  14. Questions? The University of Alabama Center for Advanced Public Safety Tuscaloosa, AL (205) 348-6999 http://caps.ua.edu Daniel Klein dmklein@crimson.ua.edu (901) 378-4678 Special thanks to project sponsor Dr. Allen Parrish, Dr. David Brown, Dr. Randy Smith, and Jesse Norris of CAPS for their guidance on this project. Allen Parrish, Director parrish@cs.ua.edu 12/7/12 -- EMS Analysis

  15. Works Cited "Center for Advanced Public Safety." Center for Advanced Public Safety. The University of Alabama, n.d. Web. Oct.-Nov. 2012. <http://caps.ua.edu/>. National Association of State EMS Officials. Proof of Concept for a Nationwide Highway Mass Casualty Readiness Measurement Project: Model Inventory of Emergency Care Elements “MIECE”. Mar. 2011. Norris, Jesse, and David Brown. Analysis of the Most Critical Factors in Teen (15-19) Driver Causes Vehicle Crashes. 17 Nov. 2011.

  16. Learning CARE caps.ua.edu • Filter creation • Understanding logic • Frequency analysis • Locational analysis and hot spots 12/7/12 -- EMS Analysis

  17. AEMSAD Definition • If Police Notification Delay < 10 minutes OR EMS Arrival Time prior to Police Arrival Time: • AEMSAD = EMS Delay (standard) • If Police Notification Delay > 10 minutes AND EMS Arrival Time after Police Arrival Time: • AEMSAD = EMS Arrival Time – Police Notification Time 12/7/12 -- EMS Analysis

  18. About IMPACT • Information mining by comparing two subsets • Performed on all variables to extract information • Graphical and tabular results 12/7/12 -- EMS Analysis

  19. IMPACT Example caps.ua.edu

  20. IMPACT Results – Police Arrival Delay 12/7/12 -- EMS Analysis • 20

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