Reducing highway deaths and disabilities with automaticwireless transmission of serious injury probability ratings from vehicles in crashes to EMS

Champion, Howard R.; Augenstein, J. S.; Blatt, A. J.; Cushing, B.; Digges, K. H.; Hunt, R. C.; Lombardo, L. V.; Siegel, J. H.

Affiliations

¹Uniformed Services University of the Health Sciences

²University of Miami

³Veridian

⁴Maine Medical Center

⁵George Washington University

⁶State University of NY, Syracuse

⁷NHTSA

⁸University of Medicine and Dentistry of New Jersey

Abstract

The National Highway traffic Safety Administration (NHTSA) developed software called URGENCY for use with Automatic Crash Notification (ACN) technologies to improve triage, transport, and treatment decision-making. The aim is to identify, instantly and automatically, the approximately 250,000 crashed vehicles with serious injuries occurring each year from the 28,000,000 crashed vehicles with minor or no injuries.

Cited By (8)

Year	Entry
2001	Augenstein J, Digges K, Ogata S, Perdeck E, Stratton J. Development and validation of the urgency algorithm to predict compelling injuries. In: Proceedings of the 17th International Technical Conference on the Enhanced Safety of Vehicles (ESV). June 4-7, 2001; Amsterdam, The Netherlands.
2005	Champion HR, Augenstein JS, Blatt AJ, Cushing B, Digges KH, Flanigan MC, Hunt RC, Lombardo LV, Siegel JH. New tools to reduce deaths and disabilities by improving emergency care: urgency software, occult injury warnings, and air medical services database. In: Proceedings of the 19th International Technical Conference on the Enhanced Safety of Vehicles (ESV). June 6-9, 2005; Washington, DC.
2005	Garthe E, Mango N. Scene triage criteria associated with fatal crashes and potential for use of event data recorder (EDR) data. In: Proceedings of the 19th International Technical Conference on the Enhanced Safety of Vehicles (ESV). June 6-9, 2005; Washington, DC.
2007	Augenstein J, Digges K, Perdeck E, Stratton J, Bahouth G, Baur P, Messner G. Application of ACN data to improve vehicle safety and occupant care. In: Proceedings of the 20th International Technical Conference on the Enhanced Safety of Vehicles (ESV). June 18-21, 2007; Lyon, France.
2009	Craig M, Scarboro M, Flannagan C. Combining CIREN and NASS-CDS data to predict occupant outcomes in frontal crashes. In: Proceedings of the 21st International Technical Conference on the Enhanced Safety of Vehicles (ESV). June 15-18, 2009; Stuttgart, Germany.
2011	Craig MJ, Scarboro M, Ridella SA. Predicting occupant outcomes with EDR data. In: Proceedings of the 22nd International Technical Conference on the Enhanced Safety of Vehicles (ESV). June 13-16, 2011; Washington, DC.
2015	Sandsjö L, Sjöqvist BA, Candefjord S. A concept for naturalistic data collection for vulnerable road users using a smartphone-based platform. In: Proceedings of the 24th International Technical Conference on the Enhanced Safety of Vehicles (ESV). June 8-11, 2015; Gothenburg, Sweden.
2017	Weaver A, Schoell S, Barnard R, Talton J, Doud A, Stitzel J. Development and evaluation of an advanced automatic crash notification algorithm for pediatric occupants. In: Proceedings of the 25th International Technical Conference on the Enhanced Safety of Vehicles (ESV). June 5-8, 2017; Detroit, MI.