Digital Trauma Handover
Research type
Research Study
Full title
Digital Decision Support to Reduce Time to Treatment in Trauma
IRAS ID
339900
Contact name
Zane Perkins
Contact email
Sponsor organisation
Queen Mary, University of London
Duration of Study in the UK
0 years, 6 months, 1 days
Research summary
Trauma causes approximately one out of ten deaths with many due to bleeding. Death from bleeding occurs soon after injury and even short delays to treatment markedly worsen outcomes. Currently, clinicians use information gathered after the patient has arrived at hospital to plan the immediate resuscitation needs, but time would be saved if resources could be prepared sooner.
This project is a collaboration between trauma surgeons, the London Air Ambulance and Computer Scientists and aims to enhance the preparedness of the hospital’s trauma team for an incoming patient. We will share key information from the ambulance with the hospital team before the patient arrives so that the doctors can make critical decisions without delay. Additionally, we will explore the potential of integrating proven AI risk prediction algorithms into this communication stream, with the goal of augmenting situational awareness and supporting treatment decisions.REC name
HSC REC B
REC reference
25/NI/0019
Date of REC Opinion
24 Feb 2025
REC opinion
Further Information Favourable Opinion