Smart Triage Data Box

Aim: To personalise the management of causalities through their unique patient journey after injury. A key aim is to match the patient to resources and use these efficiently while improving patient outcomes.

Background: Measuring the effectiveness of triage is usually done by examining the correct allocation of patients to levels of trauma facilities according to Injury Severity Score (ISS). This has led to both under and over triage.

The problem is these rates are measured against an ISS which, although it correlates with mortality, does not relate to resources required. In current systems a triage category does not, in itself, give detail of the patient’s injuries, or anatomical and physiological consequences, to the receiving unit so staff there can prepare for the incoming patient in a way which could make a real difference.

Ideally triage and monitoring should continue seamlessly into the hospital environment to ensure patients are in the optimal location within the hospital and any potential problems anticipated.

Method: The collation of the various existing datasets (clinical, biological) into a novel semantic infrastructure, the Smart Triage Data Box platform. The infrastructure will then be extended to include standardised clinical measures with more novel pre-hospital point of care measures. It is then intended to embody that approach into a real-time automated recording device that can feedback associated collected data to the MTC/trauma desk.

Lead researchers