Precision clinical analytics

Reduce avoidable variation, mortality and harm. Deliver higher quality care at lower cost.

Copeland Clinical AI (C2-Ai) provides globally unique Ai-backed systems that help hospitals to demonstrably reduce avoidable harm, mortality and variation.  We do this while generating significant savings on operating expenditure (potentially USD millions per hospital) and reducing complaints/clinical negligence claims by up to 10%.

$
m
av potential direct cost savings/hospital p.a.
%
reduction in complaints/negligence claims
+%
reduction in AKI
%
reduction in HAP

Hospitals exist to save lives, make people better and not make them worse. These fundamental outcomes should be the primary focus of what is measured.  However, hospitals have not been able to measure these outcomes with existing information systems as they cannot measure outcomes in a sophisticated and meaningful way.   

This is the challenge we have overcome.

90% of preventable harms are undetected in a typical hospital

Even the best hospitals miss the vast majority of preventable harms that C2-Ai can detect and help resolve. 

The reporting and monitoring systems in a US hospital system with a reputation for aviation levels of quality could only see 13% of the preventable harms that our systems detected.  That could be 10% or less in a typical hospital.

If a hospital can’t see the harms, they can’t resolve the variation and accrue the care and financial benefits.

 

Preventable Harms Detected by C2-Ai
Preventable Harms Detected in 'Aviation Quality' Hospital
Preventable Harms Detected in Typical Hospital

Covid-19 – Immediate deployment of proven solution that could create capacity and hence save significant lives during the pandemic  (800k in US, 180k in UK)

A range of avoidable conditions account for a significant proportion of hospital resources – particularly Hospital Acquired Acute Kidney Injury (HA-AKI) and Hospital-Acquired Pneumonia.  C2-Ai Ai-backed tools have successfully reduced these in hospitals by up to 90% and 60% respectively. 

The Compass Ai-backed SaaS tools provide evidence-based clinical decision support to augment clinical decision making and prevention of avoidable harm events.  This means pre-emptively identifying and treating patients at greatest risk of developing HAP and AKI.  A blanket 50% reduction in just a 12-month period in US hospitals would save lives and free bed capacity:

,000
lives saved in 12m (US)
+
,000
Covid-19 patients in non-ICU beds
+
,000
Covid-19 patients in ICU beds

These are mobile device applications (with AES 256 encryption built-in) that can be used immediately at the point of care with no additional training – providing clarity on what should be done.  

The process to prevent these harms is simple, straightforward and uses significantly less resource than the care needed if the patient acquires these conditions.

The system is being deployed globally.  Contact us urgently to understand more about how we can reduce capacity pressure on hospitals. 

Email: info@c2-ai.com urgently 

Our systems require zero integration and uniquely, objectively and accurately risk adjust for each patient and can tell which hospitals, specialties, consultants etc. are doing well (given their specific case-mix), where the hospital has issues for mortality and complications, what the causes are, their economic impact, and how to resolve them.

We can then support hospitals with forward-looking applications to triage and manage patients more effectively, thereby optimising outcomes and cost-effectiveness.

We have been steadily developing and validating these systems for more than 10 years, in 11 countries and in dozens of hospitals – built around 30 years of research and 120m patient records from 46 countries.

Extrapolating from the improvements in our NHS hospitals in the UK, a full NHS deployment of our retrospective audit system alone would save around 5,500 lives and nearly $1bn annually.  Our AKI and HAP prevention approaches could create significant capacity during the present crisis and save tens of thousands of lives annually even during ‘normal’ periods.

Delivered Software as a Service, our retrospective audit system is not disruptive, as we use the clinical coding data hospitals create for each patient on discharge. No extra resources are required, and no workflows change.

Our systems are built around what is probably the World’s largest patient data set from the broadest set of countries.

+
variables being tracked
%
of diagnoses
%
of patients tracked
%
of surgeries
million patient records
countries providing patient data
Countries
years of research

“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 Bonnette, MD (USA) – Executive Vice President, the Advisory Board

“It took 2 years and a very costly investigation to deal with a competence issue in our organisation some time ago. We set C2-Ai 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

What people 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
NHS, UK

“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
MD NDFT

“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”

Tom Hughes MRCP FRCS FRCEM
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.

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