CRAB – Retrospective Audit – Identifying and helping resolve performance issues

Transformative but not disruptive systems with zero integration needed 

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

Awards and recognition in the last 12 months

 

Typical hospital monitoring and reporting can only see 10% of the avoidable variation and harm we detect and help resolve

 

Software as a service reporting to highlight issues and root causes.


Our system shows specialties that are doing well (to help share that best practice) and ones that are doing badly relative to the actual health, physiology and mix of existing triggers of every patient they have treated.
We provide clear exception and summary reports that highlight rolling performance within the hospital – issues, dominant complications, specialties performing well or badly, consultant level performance (where appropriate) and approaches to improving the situation.  Traffic lights highlight results way below what is expected with the specific mix of patients and their complications etc.  Exceptional performance is also highlighted to help share best practice.
Clinicians and managers can then drill down into the information we report whenever they want – from high level (hospital performance), specialties level, consultant level and finally down to individual patient information.  

 

“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

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.

Government minister Graham Stuart in the House of Commons, UK Parliament June 2020

 
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

Example report categories

Benefits of our unique approach to reducing variation, avoidable harm, mortality and costs  

Our transformative, AI-backed approach to hospital improvement helps our partner hospitals identify issues and their root causes as well as highlighting and sharing best practice.  This delivers numerous direct benefits. 

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