CRAB OBSERVATORY– Retrospective Audit – Identifying and helping resolve performance issues

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

Basic statistics on hospital activity do not fully reflect how seriously ill patients are on admission or other conditions they may have.
This makes it impossible to understand where there has been genuine avoidable harm (and therefore how to fix it) but this ability is fundamental for meaningful monitoring of hospital performance.
CRAB Observatory uses the most advanced, risk-adjusted horizon scanning for system-wide patterns & trends in avoidable harm and variation built around tracking 146 surgical complications, 32 triggers of avoidable harm and 40 maternity metrics – coupled with unique Covid-19 performance metrics.
CRAB is based on robust, published methodologies for measuring outcomes in hospital care and is in use worldwide, having also been used at a national level in the UK.
The output is a full profile of each hospital to identify major clinical risk areas, financial efficiency and resource capacity outliers:
  • Risk adjusted surgical deaths and complications at specialty level
  • Overall incidence of avoidable harm and key triggers (AKI, Hospital-Acquired Pneumonia, sepsis etc)
  • Quarterly tracking for meaningful trends and seasonal variations
  • Route map for smart, targeted inspection
  • Mirrored by smart, targeted quality improvement interventions to reduce variation and unnecessary cost
  • Specific analysis of Covid-19 performance and factors affecting outcome (inc. palliative care)
  • Monitor impact in real time and replicate winning interventions. 

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

“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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