C2-Ai

C2-Ai is an impact enhanced risk analysis tool which aims to help healthcare services manage waiting lists by triaging patients for elective care using key indicators related to efficiency and patient outcomes. This will also be used to develop other AI-based approaches to support the NHS recovery.

Having identified C2-Ai‘s patient risk stratification system as something that could support capacity management in the region, Health Innovation East is part-funding a project with NHS England and NHS Improvement to pilot the tool in Colchester Hospital to help identify and prioritise patients at the highest risk of deterioration.

C2-Ais elective care Patient Tracking List Triage system uses an AI-driven decision support tool to assess each wait list patient’s risk of deterioration by assessing their data against a proven risk index of surgical morbidity and mortality. The system supports clinicians to re-prioritise patients for treatment based on their individual risk of complication and deterioration. Early use in Cheshire and Merseyside Integrated Care System suggests particular benefits in assessing the risk of patients waiting for vascular and laparoscopic colon surgery, and also identifying lower risk orthopaedic patients who could helpfully be transferred to elective surgery hubs. Other benefits may include improved capacity planning and the ability to support harm reviews.

Health Innovation East supported the introduction of C2.Ai’s patient risk stratification system at Colchester hospital and has commissioned an independent evaluation of the system’s effectiveness across different surgical specialties (general surgery, gynaecology, trauma and orthopaedics). It is hoped that the system will enable clinical teams to differentiate and prioritise patients to be treated in a sequence which minimises the risk of physical and mental deterioration while on the wait list, whilst also supporting lower risk patients with prehabilitation and conditioning. We hope to have completed the evaluation by January 2023.

Visit the C2-Ai website now

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