Funding boost to develop new patient monitoring system

A team of researchers in the Department’s Institute of Biomedical Engineering (IBME) and clinical staff from the Oxford University Hospitals (OUH) NHS Trust, led by Professor Lionel Tarassenko CBE, has developed an iPad-based early-warning system with Engineering and Physical Sciences Research Council (EPSRC) funding. This is one of the projects funded by the ‘Safer Hospitals, Safer Wards’ £260 million NHS Technology Fund to improve patient safety.

The new approach uses the latest computer tablet technology both to record and to evaluate patients’ vital signs. It will help alert medical staff to patient deterioration on the wards more reliably. The £1.1 million project funding will allow the team to roll out the system across all adult wards in the Trust’s acute hospitals. Handwritten medical observation charts could become a thing of the past in hospitals as a result of the development of this pioneering patient monitoring system.

Professor Lionel Tarassenko, Professor of Electrical Engineering at the Department of Engineering Science, said: “The new system will help nurses, who work in busy, high-pressure environments, care for patients more efficiently and effectively. The traditional chart-based method of recording vital-sign data is susceptible to errors in both recording and analysis of vital signs. This has been shown in multiple studies, including one funded by the Oxford BRC. Furthermore it limits the availability of the data to the bedside, making its sharing across the hospital difficult.

The new electronic system automatically calculates the hospital’s Early Warning Score, a scoring system which we have developed from extensive statistical studies of patient data. This highlights combinations of vital-sign readings which give cause for concern. The system also enables all vital-sign data and scores to be accessed instantly by all relevant healthcare staff, wherever in the hospital they may be”.

You can find out more about the research in an audio slideshow below:

The Research Council UK’s Digital Economy Programme, which is led by the EPSRC, funded the research underpinning this unique ‘track-and-trigger’ system; its translation onto the ward was supported by the Oxford Biomedical Research Centre (BRC), which brings together university academics with clinicians at the Oxford University Hospitals (OUH) NHS Trust - in particular Intensive Care Medicine specialists Drs Peter Watkinson and Tim Bonnici who have worked in close collaboration to develop the system.

Just as now, nurses will regularly take readings of a patient’s vital signs such as heart rate and blood pressure. But instead of writing the information on an observation chart, they will input it into an iPad or computer tablet. An Early Warning Score will then be calculated automatically and displayed instantly. The nurse will use this score to help decide whether medical intervention is needed.

In the future, it is planned to take advantage of next-generation scores tailored to different patient groups, for example those recovering from surgery.

At present, six vital signs are measured to calculate the Early Warning Score: heart rate, respiratory rate, blood pressure, arterial oxygen saturation (‘the sats’), temperature and level of consciousness. Details of oxygen therapy and clinical concerns can also be recorded on the iPad at the same time. The system has been designed with the future in mind so that it can easily be extended to include other data, such as blood sugar levels or neurological observations.

The system is currently being rolled out across three wards and then, with the help of the ‘Safer Hospitals, Safer Wards’ funding, across the whole of the Oxford University Hospitals Trust next year,” said Professor Tarassenko. “We see the new system as a major step towards the ‘digital hospital’ in which all sources of patient information are interlinked and all healthcare staff are interconnected. This can only have a positive impact on patient safety”.

Further coverage on this story: