Copeland Clinical AI (C2-Ai) provides globally unique, Ai-backed systems that help hospitals to demonstrably reduce avoidable harm, mortality and variation.

Example results using our range of retrospective and prospective systems.


Potential direct cost savings/hospital p.a.


bed-days saved per 1,000 patients


discrete metrics – many built up from precision risk adjustment at patient level


permutations used in driving precision clinical risk adjustment per patient (up to) 


Bed days saving potential per hospital


More issues detected/resolved than typical hospital monitoring


of patients across acute care (medicine, surgery, mat/neo, nursing care)


reduction in Hospital Acquired Pneumonia and AKI

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

C2-AI has adapted and automated existing systems in use in the NHS and globally for 12 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


person years of surgeon time could be saved 


Bed-days saved per 1,000 patients


reduction in emergency admissions

Learn More

Recent awards and recognition 

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

Transformative but not disruptive systems tracking patients in medical, surgical, nursing and maternity/neonatal care –  with zero integration needed 

discrete metrics (derived not counted)
of diagnoses
of patients tracked
of surgeries
million patient records over 30 years
Countries providing patient data
Client countries
years of research

Typical hospital monitoring/reporting can only see 10% of the avoidable harm issues our system detects and helps resolve.


Risk stratification of the patient treatment list for mortality/complication risk and wait list deterioriation.


Horizon scanning with risk-adjustment at individual patient level to scan maternity, medical and surgical patients.


Proven, approved and award-winning solution to reduce avoidable conditions acquired in hospital by 50%



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 – therefore helping 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 Patient – 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.
saving in direct costs per hospital
Learn More
lives saved per hospital
reduction in overall AKI
reduction in HAP

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.

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.
Privacy Settings
We use cookies to enhance your experience while using our website. If you are using our Services via a browser you can restrict, block or remove cookies through your web browser settings. We also use content and scripts from third parties that may use tracking technologies. You can selectively provide your consent below to allow such third party embeds. For complete information about the cookies we use, data we collect and how we process them, please check our Privacy Policy
Consent to display content from Youtube
Consent to display content from Vimeo
Google Maps
Consent to display content from Google
Consent to display content from Spotify
Sound Cloud
Consent to display content from Sound