Using NLG to Manage Information in Medical Emergencies

Hien Nguyen, Christopher Stuart Mellish, Alasdair James Mort, Peter Alasdair Kindness, Jonathan Knight, Ehud Baruch Reiter

Research output: Contribution to conferenceAbstractpeer-review

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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.
Original languageEnglish
Number of pages2
Publication statusPublished - Nov 2011
EventDigital Engagement - Newcastle, United Kingdom
Duration: 15 Nov 201117 Nov 2011


ConferenceDigital Engagement
Country/TerritoryUnited Kingdom


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