every time patient assessed
Assuming 1,000 patient list
in mortality/complications
(UP TO) ACROSS NHS WAITING LIST
ACROSS 46 countries
FROM THE INVENTOR OF POSSUM
PER 1,000 PATIENTS
PER CONSULTANT/SURGEON
C2-Ai’s Patient Tracking List Triage system has proven that it is possible to meet the requirements of the NHS Charter and the commitment to Equality, Diversity and Inclusivity by ensuring that patients are risk stratified on their individual clinical need. This enables clinicians to rapidly assess them against their risk of mortality and complications using proven methodologies and importantly, including calculation of the impact of deterioration caused by the patient’s time on the waiting list. This means clinicians can quickly position them more accurately onto the patient treatment list.
C2-AI has repurposed and automated existing systems that have been in use by the NHS and globally for 12 years, building on 30 years of research and the World’s largest referential patient dataset (approaching 375m records from 46 countries through our systems over the years). Our approach (as featured on BBC in September 2020) prioritises patients based on quantifiable risk and likelihood of deterioration whilst on the waiting list.
The system integrates into existing pathway management tools and can triage hundreds of thousands of patients a day, processing and reprocessing the waiting list dynamically at scale to deliver:
The results on the right show patients risk assessment today and the impact of wait list deteriioration, increasing their risk compared to today.
Nobody gets better while waiting for their operation procedure but some remain on the line as their risk does not change.
The system helps not just help validate and prioritise patients on the waiting list, but the example right shows patients without a priority and those who are not categorised correctly.
15% of cases in one client site had a priority (P-Code) mismatch. 94.7% of these were updated by the medical team to the C2-Ai P-Code. 5.3% unchanged due to additional information available to clinician – e.g. pain management considerations.
Existing systems adapted and automated so zero development risk. Integrate into existing pathway management tools to deliver the evidence-based, risk stratification needed.
Our risk assessment is built on the POSSUM methodology developed by our founder but evolved over 12 years around our 350m patient dataset.
For risk of mortality and complications by type, the impact of wait list deterioration on mortality and complication risk, hospital based decision criteria etc.
Supports legal requirements to prioritise on clinical urgency.
C2-Ai is a proud partner of NHS Digital with full access to national HES data built around our highest level IG processes, MHRA and ISO approvals.
Through up to 50% reduction in harm and mortality.
Reducing the up to 15 minutes per patient every time list is triaged and totalling up to 1,000 person hours that could be used to get though operations more quickly.
Companies like Cambridge-based C2-AI.. are leading the way in the UK’s cutting edge, health tech sector. C2-AI save lives by predicting avoidable harm and mortality so they free up capacity in intensive care units for COVID-19 patients.
C2-Ai is one of 10 Essential Digital Health Responses to Covid19 and has won multiple awards e.g. COGX Best Innovation for Covid-19 and Medtech Company of the Year.
C2-Ai
2a/2b Oakington Business Park
Cambridge CB24 3DQ
England
VAT Registration Number: GB 936 4035 26
CONTACT US
Call: UK +44 (0) 208 144 6967
Call: US +(434) 878-4155
Email: info@c2-ai.com
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