When a medical emergency occurs in a rural area of the UK, the first person on scene (FPOS) may be a layperson with some basic first aid training and limited equipment. That person must assess the patients and their situation, carry out basic treatments and seek additional help as appropriate. This paper describes the potential use of Natural Language Generation (NLG) to generate advice to the FPOS at a road traffic collision and more effective handover reports between the FPOS and the subsequent medical staff in the patients’ chain of care.
|Number of pages||2|
|Publication status||Published - Nov 2011|
|Event||Digital Engagement - Newcastle, United Kingdom|
Duration: 15 Nov 2011 → 17 Nov 2011
|Period||15/11/11 → 17/11/11|
Nguyen, H., Mellish, C. S., Mort, A. J., Kindness, P. A., Knight, J., & Reiter, E. B. (2011). Using NLG to Manage Information in Medical Emergencies. Abstract from Digital Engagement, Newcastle, United Kingdom.