New tools to reduce deaths and disabilities by improving emergency care:​ urgency software, occult injury warnings, and air medical services database

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

Affiliations

¹Uniformed Services University of the Health Sciences

²University of Miami

³General Dynamics

⁴Maine Medical Center

⁵George Washington University

⁶General Dynamics

⁷CDC

⁸NHTSA

⁹University of Medicine and Dentistry of New Jersey

Abstract

Research by the U.S. Department of Transportation, Federal Highway Administration (FHWA) and National Highway Traffic Safety Administration (NHTSA) has developed technologies to improve transport and treatment of crash victims. Multidisciplinary (engineering, medical, and epidemiological) research has been initiated to improve the ability for: (a) identifying the approximately 250,000 crashed vehicles with occupants that probably have serious injuries each year, (b) alerting emergency medical care providers to the potential for serious (especially occult) injuries, and (c) enhancing the timeliness and quality of rescue and treatment through better utilization of air medical services. These improvements will lead to reducing the deaths and disabilities resulting from crash injuries.

This paper describes recent advances in tools to improve the rescue, transport, and treatment of seriously injured crash victims. Specifically, this paper reports on the development of URGENCY software for crash injury assessment, an Occult Injury Database (OID) for emergency medical warning flags, and the Atlas & Database of Air Medical Services (ADAMS). These tools provide for timely and appropriate rescue actions when needed.

Links

URL: http://www-nrd.nhtsa.dot.gov/pdf/esv/esv19/05-0191-W.pdf

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Cited By (6)

Year	Entry
2011	Bose D, Crandall JR, McGwin G, Goldman J, Foster J, Fine PR. Computational methodology to predict injury risk for motor vehicle crash victims: a framework for improving Advanced Automatic Crash Notification systems. Transport Res Pt C-Emerg Technol. December 2011;19(6):1048-1059.
2015	Gabler HC, Weaver AA, Stitzel JD. Automotive field data in injury biomechanics. In: Yoganandan N, Nahum AM, Melvin JW, eds. Accidental Injury: Biomechanics and Prevention. 3rd ed. New York: Springer; 2015:33-49.
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	Ejima S, Takayama S, Mikami K, Ono K, Mashiko K, Motomura Y, Ohashi H. New challenge of integrating an accident research system with the medical and engineering network in Japan. In: Proceedings of the 22nd International Technical Conference on the Enhanced Safety of Vehicles (ESV). June 13-16, 2011; Washington, DC.
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.
2012	Ono K, Takayama S, Mikami K, Ejima S, Mashiko K, Kono M, Ohashi H. Advanced accident research system with the medical and engineering network in Japan. In: Proceedings of the 2012 International IRCOBI Conference on the Biomechanics of Injury. September 12-14, 2012; Dublin, Ireland.22-32.