Precision clinical analytics

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

LATEST NEWS

Copeland Clinical Ai (C2-Ai) has been in the news a lot recently, having been named:

One of the ‘10 Essential Digital Health ideas for a COVID-19 UK National Response’
A ‘First 100 Digital Health Company’ by Healthcare UK (in the ‘Essential’ category)
COGX Overall Tech 4 Covid19 Award Winner– presented by the Secretary of State for Digital
COGX Health Tech 4 Covid19 Winner – against more than 100 other companies

ETHOS – We are driven to enable every hospital to improve outcomes for all patients in every country – reducing clinical variation, preventing avoidable harm and saving money

C2-Ai on BBC News / BBC Click – Taking months out of the waiting list

From 3:35 we discuss how COMPASS Surgical List Triage can prioritise the elective waiting list – assessing risk of complications and mortality for each patient against for their operation/physiology. It saves lives and reduces avoidable harm.

Government minister Graham Stuart in the House of Commons here

“Companies like Cambridge-based C2-AI, which last week won the COGX Health Innovation for Covid19 Award, 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.”

“I’m often asked about artificial intelligence (AI) in the UK. When I do I always point to C2-AI – saving lives all over the planet by predicting avoidable harm and mortality with world-leading AI based on a dataset of 140 million patients from 46 countries. They are globally unique, innovative, British award-winners. I consider them to be essential for any nation which wants to take digital health seriously. If their innovation was scaled across the NHS I estimate it would save 70,000 lives and £1bn.”

Hassan Chaudhury, Digital Health Lead at Healthcare UK, DIT, TECH4CV19

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%.

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 go 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/monitoring systems in a US hospital system with a reputation for high reliability healthcare (and after 10 years of investment in quality and safety) 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 Hospital after 10 Years of Quality Focus

Preventable Harms Detected in Typical Hospital

Covid-19 – Immediate deployment of proven solution that could create capacity today and build resilience for the future

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. One hospital trust improving within weeks by the annual equivalent of 500 lives saved, 13k bed-days freed and £7m/$9m of direct savings.

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 as follows:

CLICK HERE FOR OUR FULL COVID-19 PAGE

,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