Faculty, a VC-backed artificial intelligence startup, has won a tender to work with the NHS to make better predictions about its future requirements for patients, based on data drawn from how it handled the COVID-19 pandemic.
In December 2019, Faculty raised a $10.5 million Series A funding round from U.K.-based VCs Local Globe, GMG Ventures, and Jaan Tallinn, one of Skype’s founding engineers, giving it a valuation of around $100 million.
Faculty will work with NHS England and NHS Improvement to build upon the Early Warning System (EWS) it developed for the service during the pandemic. Based on Bayesian hierarchical modeling, Faculty says the EWS uses aggregate data (for example, COVID-19 positive case numbers, 111 calls and mobility data) to warn hospitals about potential spikes in cases so they can divert staff, beds and equipment needed. This learning will now be applied across the whole of the service, for issues other than the pure pandemic response, such as improving service delivery and patient care and predicting A&E demand and winter pressures.
Faculty also worked with NHSX as a partner for the NHS AI Lab, which developed the National COVID-19 Chest Imaging Database (NCCID).
Source – TechCrunch
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