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Development and validation of the urgency algorithm to predict compelling injuries
Technical Paper
2001-06-0051
Sector:
Language:
English
Abstract
The URGENCY algorithm uses data from on-board crash recorders to
assist in identifying crashes that are most likely to have time
critical (compelling) injuries. The injury risks projected by using
the NASS/CDS data are the basis for the URGENCY algorithm. This
study applied the algorithm retrospectively to a population of
injured occupants in the database from the University of Miami
School of Medicine, William Lehman Injury Research Center (WLIRC).
The population selected was adult occupants in frontal crashes that
were protected by three-point belts plus an air bag.
For the cases with greater than 50% predicted MAIS 3+ injury
probability, 96% of the occupants in the study had MAIS 3+
injuries. For the cases with less than 10% predicted MAIS 3+ injury
probability, 63% did not have MAIS 3+ injuries. Most of the of MAIS
3+ injuries not predicted involved injuries in multiple impact
crashes, pole crashes or close-in occupants injured by air bag
deployment. Modifications to the URGENCY algorithm to include
predictors for these three factors significantly improved accuracy
of the MAIS 3+ injury predictions.