A Real-Time, Automated and Privacy Preserving Mobile Emergency-Medical-Service Network for Informing the Closest Rescuer to Rapidly Support Mobile-Emergency-Call Victims
The main aim of this project is to propose an application that allows medical staff to quickly arrive at the scene of an accident with patients and staff using mobile devices to automatically alert a central server of their current locations.
Today, many countries seek to establish long-term care systems to provide quality, affordable and universal care for the elderly, allowing them to enjoy their old age in a familiar environment, while reducing the burden of such care on the family. The desired concentration of such long-term care centers entails a significant staffing challenge, and potential staff must be willing to undergo extensive professional training, thus many such facilities may be understaffed. Elderly and disabled patients are free to roam the premises in such centers, but are prone to falls and accidents from which they may be unable to recover without assistance. In understaffed facilities, such accidents may not be immediately noticed, thus delaying treatment, potentially with severe consequences.
We propose a new system that allows medical staff to quickly arrive at the scene of an accident with patients and staff using mobile devices to automatically alert a central server of their current locations. We are focusing on active rescue approaches for use in hospitals and rest homes caring for disabled patients and residents. Accidents in such environments may occur in isolation, with no one at hand to report or assist. The proposed system uses smart phones to ensure that the nearest available medical personnel are alerted and guided to the victim to minimize response times. In addition, user and staff location information is protected, and the system provides security features such as anonymity and information integrity.