Personal tools

You are here: Home / Research / Biomedical Signal Processing & Instrumentation / Prof. L Tarassenko / Data fusion for early warning of patient deterioration in the Emergency Department

Data fusion for early warning of patient deterioration in the Emergency Department

Research summary

Researchers: Mauro Santos, Dr David Wong, Prof. Lionel Tarassenko

Clinical collaborators: Rob Way, Dr Sarah Wilson, Dr Rick Pullinger (Emergency Dept, John Radcliffe Hospital)

Funding: Oxford Biomedical Research Centre (OxBRC)

We have now completed a 500-patient trial of the use of the track-and-trigger system in the John Radcliffe Hospital Emergency Department. We have reviewed the paper track-and-trigger charts completed for these patients by the nursing staff and analysed the continuous vital sign data generated by the bedside monitors to which the patients are connected. Only 27% of physiological escalations were associated with a documented T&T score above the triggering threshold (Wilson et al. Emergency Medicine Journal, 2012). This has caused us to re-think how patient deterioration may optimally be identified in this setting.

Our 10,000-patient trial in the Majors area of the Emergency Department seeks to establish how automated alerting software at the output of the bedside monitors can best be combined with the regular vital sign observations made by the nursing staff.