Proven precision healthcare analytics driving clinical and cost effectiveness across all of acute care and beyond

Identifying the 90% clinical/cost issues today’s hospital systems cannot find…

Hospitals only see the tip of the iceberg in terms of drivers of cost and quality variation
Even in today’s unsustainable healthcare landscape, 90% of clinical and cost variation is consistently going unaddressed in hospitals worldwide.
C2-Ai’s proven, precision healthcare analytics
  • detect and help resolve these hidden issues across all of acute care
  • are evidence-based and backed by rigorous scientific research and validation.  
Immensely sophisticated algorithms 
  • developed around 400m+ patient records processed from 46 countries
  • founded on 30 years research
  • deliver clear, actionable insights from healthcare systems, sites and specialties down to individual patient level.  
With C2-Ai, healthcare payors and providers can address clinical and cost variation issues, to deliver billion-dollar impacts and a demonstrable quantum leap in patient outcomes.

C2-Ai has solved the problem of Individualised Clinical Risk Adjustment at scale

Globally unique systems to transform healthcare…

Built by clinicians with globally recognised expertise in patient safety and clinical cost effectiveness
AI-backed platform covering 100% of patients across acute care (medicine, surgery, mat/neo, nursing based care) and beyond
No software integration or changes to clinical workflows required

Unique capabilities performing truly ground-breaking analysis…


more issues detected across hospitals – clearly actionable for in-year ROI


permutations per patient delivering clincial risk assessment with exceptional accuracy – validated and published


AI-enhanced discrete metrics that matter – uncovering even hidden issues (failures to respond, omissions to treat)

Successfully delivering meaningful outcomes and insights…


Potential direct cost savings per hospital (recurring per annum)


complication metrics for medical patients


Reduction in emergency admissions


years of surgeon time saved (NHS at 100% scale)


bed-days saved per 1,000 patients


reduction in Hospital Acquired Pneumonia/AKI

Based on decades of research and extensive hospital data


patient records processed from 46 countries


of research and 15 years of real world deployment across 11 countries


adoption in NHS ICS regions as well as government + regulators + ‘for profit’ hospitals in US 
Hospitals only see the tip of the iceberg in terms of drivers of cost and quality variation
Typical hospital monitoring/reporting can only see 10% of the avoidable harm issues our system detects and helps resolve.

Prioritisting waiting lists and referrals on precision clinical patient risk
Risk stratification of the patient treatment list for mortality/complication risk and wait list deterioriation.
Systems need detailed metrics to reduce harm and cost variation - focusing on real issues and understanding the impract of cost/quality issues
Horizon scanning with risk-adjustment at individual patient level to scan maternity, medical and surgical patients.
Ai-backed precision patient analytics and risk based prioritisation
Proven, approved and award-winning solution to reduce avoidable conditions acquired in hospital by 50%


Focus on Elective Waiting Lists
Delivering more effective/objective stratification, prioritisation and validation of waiting lists

Learn More
C2-AI’s proven precision healthcare analytics have been evolving in use in the NHS and globally for 15 years.  Unique, approved, referenced systems that risk-adjust at individual patient level calculating risk of mortality and complications PLUS the impact of deterioration on the waiting list. Evolved around the World’ s largest referential dataset by our co-founder, inventor of the POSSUM methodology.


combinations of operative type and physiology


years of surgeon time could be saved 


Bed-days saved per 1,000 patients


reduction in emergency admissions

Recent awards and recognition 

C2-Ai has won numerous awards and been published in peer reviewed journals

What experts say about our solutions

C2-Ai have the most robust software approach to comparing safety and quality across hospitals, systems and physicians that I have ever seen. The algorithms are backed up by years of published international research. I believe their approach could be most useful as a solution for providers across any network.

Nobody else can do what C2-Ai does.

James C Bonnette, MD
Executive Vice President, the Advisory Board (USA).

“It took 2 years and a very costly investigation to deal with a competence issue in our organisation some time ago. We set CRAB® the blind challenge of seeing if they could have found the problem in our historical data. They did so in 20 minutes. Needless to say, we have invested in the system

Dr. Michael Roberts
Chief Medical Officer, Northland District Health Board, New Zealand

CRAB® can identify outcomes that are better than expected, as well as those that are worse, and thus can be used as an improvement tool as well as to assure clinicians and others of the standard of care being provided, and to measure productivity

Lord Ara Darzi

“CRAB® predictions have proved accurate in my primary external research validation of the system. I currently don’t know of any other electronic system in use that can deliver this kind of overall and detailed qualitative feedback to the department and the individual surgeon. It has been a great benefit for our clinic and helped develop our work on patient safety.”

Wilhelmina Ekström, MD, PhD
Senior Consultant, Karolinska University Hospital, Sweden

“To have reports of this quality dropping on to my iPad is a real joy”

Marcus Bankes
Consultant Orthopaedic Surgeon

“This exercise is not about making data/surgeons/departments look good, but about being accurate so that performance can truly be assessed”

Steve Corbett
Consultant Orthopaedic Surgeon and Clinical Lead

“CRAB has allowed real time review of data, which has raised awareness and led to change in both clinical practice and hospital culture. I think it will become an essential part of the appraisal and governance structures of secondary care.”

David Williams
Consultant Surgeon, Northern Devon Hospital Trust

“We use CRAB to provide us with a detailed monthly audit report of each surgeons complications, adjusted against CRABs risk methodology, in order to monitor outcomes performance. Our Clinical Leads meet monthly and review any complications that arise in order to inform and learn from the evidence. We find CRAB provides outcomes intelligence quickly, enabling us to be ‘on top’ of outcomes immediately.
One of the significant gains from using CRAB is a massive improvement in our coding from an engaged clinical workforce”

Brian Wells
Former Director of Orthopaedics, GSTT

“CRAB just makes sense. It presents data in a way that is easy to understand and interpret. It has been immensely useful for me both personally in my appraisal and in my role as a Clinical Director. It helps me to pick up early warning of problems with intelligence that can be believed and acted upon”

Jeremy Cundall
Consultant Colorectal and General Surgeon - Executive Director, CDDFT

“CRAB® is 100% better than any solution available to us at the moment. It has turned out to be a very useful tool in analysing and understanding our case-mix and where our complications are occurring.”

Per Svedmark MD, PhD
Senior Consultant, Stockholm Spine Centre, Sweden

“We are thrilled to receive this award, which reflects a great deal of hard work and support from within and […] the support of CRAB® Clinical Informatics (C2-Ai) who enabled us to benchmark our Trust’s AKI rates against national levels – and then measure the significant impact of our AKI Programme, which coincided with a significant and sustained fall in AKI rates our Trust, especially across surgical wards”

Dr Jonathan Murray
Renal Consultant at South Tees Hospitals NHS Foundation Trust, UK

The problem with [HSMR systems] is that they tell you there might be a problem, but not where or why. CRAB® tells you exactly what and where the problem is, and even which patients are involved. Then you can do something about it.”

Dr. Aresh Anwar
Medical Director Royal Perth Hospital, Australia

“CRAB has provided data for the consultants to really understand their outcomes for patients in a user friendly way.”

Alison Diamond

“CRAB is generating trusted data which we can use to flag up areas of concern. From there we are able to take action in a much more sophisticated way than we have in the past.”

Timothy Ho
Medical Director, Frimley Health NHS Foundation Trust

“I have worked with C2-Ai for the past seven years, and their insights have shone a light on the quality and safety of patient care that other less sophisticated analyses have not been able to provide”

Consultant in Emergency Medicine, John Radcliffe Hospital, Oxford
Accurate benchmarking of outcomes was a real challenge to us as an independent hospital with limited access to big data sets, however our work with CRAB analytics has provided invaluable quality assurance. The risk adjusted reporting has provided confidence that our outcomes are better than comparable organisations and the level of detail enables us to focus on improvements in specific areas.  It was particularly useful during our regulatory inspection and follow up meetings with the CQC to show how this strengthens our clinical governance and contributes to our ‘effective’ and ‘well led’ domains.  
Dr Jenny Davidson
Director of Governance, King Edward VII's Hospital.


combinations of operative type and physiology


person years of surgeon time could be saved 


Reduction in harm and mortality


weeks of triage time saved per surgeon

Focus on quality improvement – Reducing harm/mortality and avoiding scandals in acute care (including maternity)

Unique systems helping hospitals, payors and regulator demonstrably reduce clinical variation, avoidable harm and mortality. This helps hospitals save millions of direct costs, in-year. Typical hospital monitoring and reporting can only see 10% of the mortality and morbidity issues we identify and help resolve.


saving potential in direct costs per hospital


reduction in surgical complications (real example)


Reduction across triggers of avoidable harm 

Focus on Deteriorating Patients – Preventing avoidable conditions acquired in hospital

Our COMPASS app is used at the point of care to triage patients for risk of acquiring these conditions and suggests risk-adjusted approaches that reduce the conditions by 50% while reducing staff workload.
m (USD)
saved per hospital
Learn More
reduction in triggers of avoidable harm
reduction in overall AKI
reduction in HAP
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