Smart EMS; Health Information and AI
主講人：Kang Hyun Lee(Yonsei University Wonju College of Medicine, Wonju, South Korea)
簡介：The use of information and communication technologies (ICT) are important practice in daily practice of Emergency Medical Service (EMS) system. It is generally assumed that the use of new technologies improves the quality of EMS. With development of ICT, methods of the telecommunication have been invented for checking patients' vital signs and ECG during their transport to the hospital, via EMS system. EMTs are accustomed to On-line medical direction (OLMD) during transport with enhanced IT. We developed the real time telemetry system (RTS) by which the patient’s data is transmitted from ambulance to a hospital in real-time in Korea. I would like to present the experience of building the RTS system and the application of the new technology to the emergency medical system. We expected to enhance a use of medical direction and quality of emergency treatment at scene with the new system to RTS monitoring.
Also, thanks to artificial intelligence (AI) and machine learning, diagnostic tools can be trained to read radiologic scans. AI algorithms and machine learning have recently made huge advances in automatically diagnosing diseases and predicting the disease, making diagnostics cheaper and more accessible. AI can assess the risk of sudden cardiac death or other heart diseases based on electrocardiograms and cardiac images. More advanced AI diagnostics are coming soon.
I will review what trends and technologies will have an impact on the future of emergency medical services system. The use of new technologies in ICT and AI are improving the quality of EMS system.