Revolutionary technology which could help reduce deaths on rural roads is being investigated by Aberdeen scientists.
2341 road traffic accidents resulted in fatalities in the UK in 2008. The majority of these accidents 鈥� 60% - occurred on rural roads*.
Experts from the 黑料网 are developing a device which would provide medical advice and support for the first person to arrive on the scene of a road traffic accident.
It would also continuously monitor and record the casualty鈥檚 condition before the arrival of emergency services.
The system 鈥� which is in its initial stages of development - is likely to be a small hand held device which could be used by a doctor, nurse, paramedic, or a trained community first responder**, and would work by:
- Gathering and analysing information from a sensor placed on the injured person鈥檚 body to measure their vital signs
- Asking the first person to arrive at the scene to input key information on the casualty to build a picture of their condition
- Giving advice on the signs they should look for to determine the injured person鈥檚 condition and the action they should take to assist
- Storing information on what has happened at the scene which can be passed onto the ambulance crew, and then to the hospital to ensure all crucial information is retained throughout the chain of events
- Passing information onto hospital medical staff about the patient鈥檚 condition in advance of their arrival at hospital by connecting to a mobile device or broadband
A team of clinicians, computing scientists, and physiologists are working together on the project.
It is the first to be undertaken by dot.rural - the 黑料网 research hub - funded by a 拢11.8million grant from the Engineering and Physical Sciences Research Council (EPSRC) under the Research Councils UK Digital Economy Programme- which is investigating how digital technologies could transform rural communities, society and business.
The research team plan to work with emergency services such as the British Association for Immediate Care, Scotland (BASICS Scotland), and to build on previous work with Intelesens 鈥� a spinout company of the University of Ulster which creates wireless monitoring devices.
Professor David Godden from the 黑料网鈥檚 Centre for Rural Health and Professor in Computing Science at the University, Chris Mellish, are leading the project.
Professor Godden said: 鈥淪tatistics confirm that road traffic accidents are a major health issue in rural areas and this is combined with the additional challenges faced by emergency services working in remote areas, in terms of how long it can take to get to the scene of an accident.
鈥淎ctions taken in the time immediately after an accident has occurred play a critical role in the casualty鈥檚 survival.
鈥淲e are investigating the creation of a device which would provide crucial support for the first person to arrive on the scene - helping them to make decisions and store key information on the injured person鈥檚 condition.
鈥淭he device would gather information on the casualty鈥檚 vital signs via a sensor placed on their body and information inputted by the person at the scene. This information would be analysed and advice would be provided on what should鈥� or should not 鈥� be done in order to help the casualty.
鈥淚t would also constantly monitor the person鈥檚 condition and any change 鈥揻or example a dramatic rise in heart rate 鈥� would signal an alert that action needed to be taken.
鈥淚n addition the device would provide a record of information on the casualty鈥檚 condition from the moment the person arrives on the scene meaning that all vital information gathered is retained and can be passed on accurately and promptly to the hospital medical team.
鈥淭he technology also could have the potential to be transferred for use in situations in the home 鈥� for example heart attacks or asthma attacks.鈥�
Professor Mellish said: 鈥淭his project is about looking at just one of the ways technology can support or enhance the delivery of healthcare in rural areas.
鈥淭he device will use a technique called Natural Language Generation 鈥� where complex data is translated into simple and understandable text.
鈥淭he medical data gathered by the sensor and any actions that need to be taken would be communicated by the device through clear and concise sentences making it simple for the first person on the scene to follow in what is likely to be a highly tense situation.
鈥淎 major part of our research project will be looking at how the device would function, taking into account that the person at the incident may be dealing with adverse weather conditions or heavy noise levels. For example should it be touch screen, use images, or dialogue to actually 鈥渢alk鈥� the person through the advice and information.鈥�
Research into the device begins this month with the project running for three years.
For more information on dot.rural visit .