Health tech case study of the year
C2-Ai won this category.
C2-Ai’s prioritisation system is used to stratify the elective surgical waiting list on clinical risk and urgency along with social determinants of health and length of time on the waiting list. The overall aim is to save beds and reduce emergency emissions. The system assigns a detailed patient score from 0 to 100 to help fast and accurate prioritisation, with C2-Ai combining and automating existing AI-backed systems to build on 30 years of research and the biggest referential patient dataset.
The Cheshire and Merseyside model has been deployed at multiple trusts and ICSs.
The tech can reduce emergency admissions by up to 8%, save 125 bed-days per 1,000 patients, thousands of surgeon years of time and £ billions in opex.
