To reduce the elective backlog in Cheshire and Merseyside, the Innovation Agency, the AHSN for the North West Coast, identified three trusts that would benefit from the use of an artificial intelligence system.
While there is no shortage of data available to clinical teams to help them prioritise patient care and reduce waiting lists, it is often difficult to optimise the use of this information.
In particular, current methods of prioritising patients waiting for elective surgery do not identify individuals who deteriorate more quickly because of their pattern of morbidities, so a more accurate system for assessing such patients needs to be a priority.
This is where Cambridge-based C2-Ai’s Patient Tracking List (PTL) triage system can support hospitals.
It takes many factors into account, including social determinants of health. Its algorithm uses data from more than 200 million records from 46 countries from the last 30 years to review individual patient health profiles, as well as the type of surgery they face, to estimate the risk of complications during or after surgery.
This enables the surgical team to take steps to reduce these risks from happening or to prepare expert treatment if it does.