Automatic Acoustic Gunshot Sensor Technology May Benefit Shooting Victims

Medicine, Health Care Automatic Acoustic Gunshot Sensor Technology…

Published: October 25, 2017.
Released by American College of Surgeons  

SAN DIEGO: A number of U.S. cities have installed acoustic gunshot sensor technology to accurately locate shooting scenes and potential gunshot victims, but the effectiveness of this technology for saving lives had not been studied until surgeons at the University of California, San Francisco-East Bay in Oakland, Calif., found that this sensor technology may benefit shooting victims by helping them get to the emergency room sooner than they may have otherwise.

“Our key finding was that the use of these acoustic gunshot sensors showed promise as a system that may benefit gunshot victims,” said lead study author Magdalene A. Brooke, MD, a general surgery resident at University of California San Francisco-East Bay. The study was presented at the American College of Surgeons Clinical Congress 2017. Gregory P. Victorino, MD, FACS, a professor of clinical surgery and trauma surgeon at UCSF-East Bay, was the senior author of the study.

Gunshot sensor technology involves sensors, essentially microphones, mounted on buildings and utility poles. These sensors detect the sound waves of a gunshot, and software calculates input from several sensors to triangulate its location with a margin of error of about 80 feet. The system can distinguish between single and multiple gunshots, and can differentiate gunshots from fireworks and other sounds that may activate it. The idea is to detect gunshots that go unreported and provide responders with more accurate information on the point of origin than they can glean from citizens’ calls. About 90 U.S. cities have this technology, and Oakland’s system has been in place since 2006. Fewer than 20 percent of shots fired are reported to police, the study authors stated.

The researchers analyzed cases of 731 gunshot victims, 192 (26 percent) of whom were identified with acoustic sensor technology. Compared to shooting victims identified with conventional policing methods, sensor-related patients were more likely to be female (20.8 percent vs. 12.8 percent, p0.01), have higher injury severity scores (13.8 vs. 10.7, p0.01), spend more days on mechanical ventilation (1.2 days vs. 0.7, p0.05) and more time in the hospital (8.4 days vs. 5.7, p0.01), and were more likely to need an operation (44.8 percent vs. 35.6 percent, p=0.03). Yet, the difference in mortality was not statistically significant: 12 percent for sensor-related victims and 10.2 percent for others (p=0.49).

“We found that gunshot victims whom we could connect to a gunshot sensor activation experienced decreased prehospital time and emergency medical service on-scene times compared with those who were presumably discovered due to standard policing methods,” Dr. Brooke said. “These patients also experienced a similar mortality to the control group despite having higher injury severity scores, suggesting that this method of alerting police may lead to better than expected outcomes.” However, Dr. Brooke emphasized that the study results do not explain why.

The sensor technology does not necessarily change the way trauma centers receive notification of gunshot victims, Dr. Brooke said, but she added, “our study shows that the use of gunshot sensor technology by police may help paramedics treat and transport these patients to the hospital more rapidly.”

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