For residents of rural and underserved areas, access to emergency medical care can be a matter of life and death. With limited access to health care services and long ambulance wait times due to distance, these communities face challenges that can significantly affect their health and well-being. In the case of cardiac arrest, when every minute counts, finding solutions to improve response times is critical to saving lives.
USC researchers are exploring the use of AI-powered decision making to deploy life-saving equipment in data-scarce settings like rural neighborhoods to enable faster emergency response times, improve the design of emergency response systems and potentially save lives. Results from a recent study show the potential for AI to help emergency responders make informed and efficient decisions in settings where data is limited.
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