Sensyne Health has launched an artificial intelligence (AI) algorithm which will support real-time operational and clinical patient management.
The British AI company’s SYNE-OPS-1 algorithm provides an hourly risk forecast of the expected number of future ICU admissions and the future demand for ventilators, based upon an analysis of clinical data on Covid patients being admitted to hospital.
This aims to enables hospital managers to direct resources across the hospital more effectively in the face of changing numbers of patient admissions amid the pandemic.
Chelsea and Westminster Hospital NHS Foundation Trust has integrated the algorithm into its operational workflow to help the trust predict ICU capacity needs for patients with Covid. The trust is one of several which has a strategic research agreement (SRA) with Sensyne Health.
The algorithm uses anonymised clinical data on patients with Covid, such as vital signs and laboratory test results transmitted to the SENSE clinical AI platform. The data is then analysed and the results presented via a dashboard to help hospital managers make informed decisions about the need for hospital resources.
Roger Chinn, chief medical officer and CCIO at Chelsea and Westminster, said: “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.
“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.”
SYNE-OPS-1 is the first in a number of operational algorithms expected to be developed by Sensyne using the SENSE platform.
Paul Drayson chief executive of Sensyne Health, added: “The successful deployment of our first operational algorithm, developed in collaboration with our research partners at Chelsea and Westminster NHS Foundation Trust, is an important milestone for Sensyne.
“We aim to build a broad range of operational algorithms on our SENSE platform to help significantly improve the performance of health systems with the potential of generating a significant commercial return for Sensyne and our research partners.”
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