C2 Ai : AI-backed hospital improvements systems

C2 Ai, delivers AI-backed hospital improvements systems.   C2 Ai has developed our software as a service (SaaS) systems over ten years, operating in 11 countries and in dozens of hospitals.

Every year our client hospitals treat millions of patients, saving thousands of lives and ensuring that hundreds of thousands have better outcomes that will last a lifetime. We do this while saving our clients millions of dollars in operational costs and litigation fees (up to 10%).

What we do

Hospitals exist to save lives, make people better and not make them worse.

These fundamental outcomes should therefore be the primary focus of what is measured.  This is just common sense and aligned with the increasingly challenging legal and governance liabilities hospital management teams will face over time.

There are lots of ways hospitals are measured but they don’t measure how well we’re saving lives and making people better in a sophisticated and accurate way… simply because they haven’t been able to with their existing systems.   

These are the problems we have fixed but without disruption to hospitals. 

Why is our approach different?

We uniquely 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.

Saving three times the lives lost on the roads each year

Extrapolating from the improvements in our NHS hospitals in the UK, a full NHS deployment would save three times the lives lost on the roads and save nearly £800m.  Our work on AKI and HAP prevention would save many more lives than this – with one hospital study showing AKI eradicated for elongated periods.

An easy on-ramp

The retrospective audit system is transformative but not disruptive, as we take the feed of clinical coding data created for each patient on discharge. No extra resources are required, and no workflows change in the slightest.  Our reports highlight problem areas and their causes for the management team, with a complementary expert system allowing deep drill down into the underlying information.

The Return on Investment for direct savings alone is up to 40 times our annual licence fee, but our track record provides us with the confidence to offer a risk-sharing option where we are paid a percentage of identified savings.

Prospective Risk Assessment

Our pre-operative risk assessment tool (COMPASS) provides a fast way to assess risk of mortality and complications for a patient based on their physiological variables and the severity of the operation.  Built around 25 years work and our 120m patient data set, it can be completed in less than a minute.  Clinicians can then use it to:

  • support an evidence-based decision on whether to operate or optimise the patient
  • show the patient 'what-ifs' on how them improving some physiological variables will improve their risks
  • print out and become part of a 'truly informed consent' approach that we think will help reduce/eliminate claims under the Montgomery Ruling (which is costing hospitals millions per year)

Our AKI risk assessment checklist has been used to identify those patients at higher risk of AKI to allow stratification of patients.  In a study in Manchester the hospital has dropped from 3-4 cases per week to practically zero.

Don’t take our word for it

‘..analysis of 468 hospitals showed the highest quality facilities delivered lower-  cost care for 82% of diagnoses indicating that investments in patient safety, standardized care delivery methods, and enhanced health IT tools may be worth the effort (Advisory Board -  2018).’

 

 

 

"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


 “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.”

Dr. Timothy Ho, Medical Director, Frimley Health NHS Foundation Trust, UK

“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 Hospital, London UK