A Secure Mobile Multimedia System to Assist Emergency Response Teams

Abstract

Long wait times after injury and greater distances to travel between accident scenes and medical facilities contribute to increased, possibly unnecessary deaths. This paper describes a mobile emergency system aimed at reducing mortality by improving the readiness of hospital personnel, therefore allowing for more efficient treatment procedures to be performed when the victim arrives. The system is designed to provide a secure transmission of voice, medical data, and video in real-time over third-generation cellular networks. Test results obtained on a commercial network under real-life conditions demonstrate the ability to effectively transmit medical data over 3G networks, making them a viable option available to healthcare professionals.

Remote real‐time monitoring of free flaps via smartphone photography and 3G wireless internet: A prospective study evidencing diagnostic accuracy

“…Previous studies using mobile phones for telemedicine were hampered by this factor. 10,11,14,23,24,[26][27][28][29] Indeed, the device used in this study, the iPhone 1 3G, is itself limited in its ability to capture quality photographs under conditions of poor lighting or variable depth of field, as was the case with intraoral flaps in our study. However, technology is progressing rapidly, and new devices have been introduced with much higher resolution, flash capability, and even macrofeatures, such as the iPhone 1 4G with 5 megapixels (Fig.…”

“…8 Telemedicine has also been successfully implemented in diabetic clinics, emergency departments, and rural trauma systems. [9][10][11][12][13][14] With the advent of wireless technologies, 15 these benefits are literally at the fingertips of virtually every practicing physician, in any field, in any part of the world. 16 The ''unwired evolution'' of telemedicine has begun.…”

CIS system hazards derived from literature using systems and human factors perspectives

“…An example of such a device would be one which monitors an infants vital signs and warns nurses of impending adverse events [8]. Another device of this type would be one that relays a live video feed from an ambulance to an emergency room so as to provide a better transition of care between paramedics and surgeons [3].…”

Research on the group decision-making about emergency event based on network technology

“…For example, Fryling [10] develops a simulation model ERPMAINT 1 which enables theory testing, scenario exploration and policy analysis. Rosmuller and Beroggi [11] develop a participatory methodology to converge decision makers' views, which has been integrated in a mobile multimedia group decision network system; Yoon et al [12] develop a low-cost computer-based training prototype with a decision support system tool; Belala et al [13] describe a mobile emergency system aimed at reducing mortality by improving the readiness of hospital personnel. Many scholars introduce computer simulation into decision support system [14,15].…”