Sensyne launches AI tech to help hospital manage Covid patients

Sensyne Health has launched an AI algorithm to support real-time operational and clinical patient management in hospitals.

The SYNE-OPS-1 provides an hourly risk forecast of the expected number of future ICU admissions and the demand for ventilators based on analysis of clinical data on Covid patients being admitted to hospital. 

The algorithm uses anonymised clinical data on patients with Covid such as vital signs and laboratory test results transmitted to the SENSE AI platform. 

This data is then analysed and the results presented help managers make decisions about the need for hospital resources. 

The technology has been introduced at Chelsea and Westminster Hospital NHS Foundation Trust to help predict ICU capacity needs for patients with Covid. 

‘The SYNE-OPS-1 algorithm has proved invaluable during this current wave of the pandemic. We are able to predict ventilator and non-mechanical support requirements in ICU, helping us to make best use of our expertise and resources,’ said Roger Chinn, chief medical officer and chief clinical information officer at Chelsea and Westminster Hospital. 

‘In collaboration with Sensyne Health and as part of our CW Innovation programme, we are embracing digital innovation, data integration, and analytics to support and improve clinical decision making and practice.’ 

In January the London-listed AI company reported an increase in gross profit of £1.1m to £1.3m on revenues that were up £1.9m to £2.3m for the six months ended 31 October 2020.