Fast, evidence-based triage of surgical lists 

Applying a proven approach to prioritizing surgical elective lists

The backlog of surgeries in most countries is a mammoth task

Time saved per Assessment


5 Minutes

every time patient assessed 

Bed-days saved per 1,000 patients


125 Bed-days

Impact of Delays on Patients w


100% Increase

in mortality/complications

Surgeon Years Saved with C2-Ai 




Proven systems already in use in NHS – adapted and automated – saving up to 6,000 person years of surgeon time and halving harm / mortality


Delivering more effective/objective prioritisation and validation of waiting lists

Patient Records 

400 Million

ACROSS 46 countries 

Built on Research

30 Years


Harm reduction

125 bed-days


Time Saving

6+ Weeks


Our system uniquely takes into account wait list deterioration and social determinants of health

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:

  • 125 bed-days saved per 1,000 patients
  • Up to 8% reduction in emergency admissions from those on the list
  • Lower patient harm and mortality
  • Better use of surgeon time (currently 15 minutes spent for every patient review)
  • More detailed view of clinical risk for each patient
  • Optimisation of sites to and routing across trusts/regions to match patient risk
  • Support to help identify which patient to optimise prior to operation
  • Reduces chances of lawsuits, regulatory investigations etc.


Examples and findings from some of our clients using the C2-AI Patient Tracking List system

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. 

Findings on re-prioritisation

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.

Why C2-Ai Waiting List Triage?

Systems already in use globally

Existing systems adapted and automated so zero development risk.  Integrate into existing pathway management tools to deliver the evidence-based, risk stratification needed.

Advanced, evidence-based assessments

Our risk assessment is built on the POSSUM methodology developed by our founder but evolved over 12 years around our 350m patient dataset. 


Risk-assessing every patient

For risk of mortality and complications by type, the impact of wait list deterioration on mortality and complication risk, hospital based decision criteria etc.

Built on assessment of clinical urgency

Supports legal requirements to prioritise on clinical urgency.  

Highest levels of information governance

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. 

Direct cost savings 

Through up to 50% reduction in harm and mortality.

Saves 6.25 weeks per surgeon

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. 

UK Minister in Parliament

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.

Award Winning

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.

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