An Analysis of Ambulance Response Times Across the State of Alabama
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An Analysis of Ambulance Response Times Across the State of Alabama Daniel M. Klein Faculty Sponsor: Dr. Allen Parrish Center for Advanced Public Safety 1 December 7, 2012
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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. - PowerPoint PPT Presentation
Transcript of An Analysis of Ambulance Response Times Across the State of Alabama
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An Analysis of Ambulance Response Times Across the State of Alabama
Daniel M. KleinFaculty Sponsor: Dr. Allen Parrish
Center for Advanced Public Safety December 7, 2012
2 12/7/12 -- EMS Analysis
106,000
6,000
2,000 per year
• Alabama injury crashes, Jan. 2009 – Aug. 2012
• Injury crashes with ambulance delay over 30 minutes
3
An Analysis of Ambulance Response Times Across the State of Alabama
Daniel M. KleinFaculty Sponsor: Dr. Allen Parrish
Center for Advanced Public Safety December 7, 2012
4 12/7/12 -- EMS Analysis
Background• Concept proposed by Dr. David Brown of Center for
Advanced Public Safety (CAPS)
• Shocking frequency of extended delays
• Potential to save lives• Dataset: Alabama crashes from 2009 to August
2012• Best reflects modern reality
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Research Goals
city-data.com
• Facilitate decision-making process• Extract actionable
information from data
• Illustrate with heat maps
6 12/7/12 -- EMS Analysis
Critical Analysis Reporting Environment
caps.ua.edu
• Data analysis software package
• Developed for traffic safety applications• Information mining capability – IMPACT
• Extract information from data
• Present results graphically and tabularly
7 12/7/12 -- EMS Analysis
Adjusted Emergency Medical Services Arrival Delay (AEMSAD)
• EMS Delay variable not optimal
• AEMSAD variable created for CARE warehouse
• Better reflects reality
• Helps extract valid information from imperfect data
al.com
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IMPACT Analysis
• Designed AEMSAD GT 30 and LT 30 filters
• AEMSAD greater or less than 30 minutes
• Injury crashes involving EMS transport only
• Executed IMPACT on all variables
• Revealed variables correlated to higher
AEMSAD
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IMPACT Results – Time of Day
12/7/12 -- EMS Analysis • 9
10 12/7/12 -- EMS Analysis
Geographic Information Systems (GIS) Analysis
esri.com
• Locational data exported from CARE
• Coordinate points with related variables
• Data processed with ArcGIS
• Heat map generation
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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 12/7/12 -- EMS Analysis
Heat Map Result
• Compares average
AEMSAD values for given
locations
• Red indicates statistically
higher delay, blue lower
13 12/7/12 -- EMS Analysis
Next Steps
caps.ua.edu
• Performing more pinpointed analysis
• Specific locales and routes
• Empowering officials with information
• Tactical and strategic decisions
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Questions?
12/7/12 -- EMS Analysis
The University of Alabama Center for Advanced Public
SafetyTuscaloosa, AL
(205) 348-6999 http://caps.ua.edu
Allen Parrish, Director
Daniel [email protected]
(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.
15 12/7/12 -- EMS Analysis
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.
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Learning CARE
• Filter creation
• Understanding logic
• Frequency analysis
• Locational analysis and hot spots caps.ua.edu
17 12/7/12 -- EMS Analysis
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
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About IMPACT
• Information mining by comparing two subsets
• Performed on all variables to extract information
• Graphical and tabular results
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IMPACT Examplecaps.ua.edu
20 12/7/12 -- EMS Analysis
IMPACT Results – Police Arrival Delay
12/7/12 -- EMS Analysis • 20
