CRAB OBSERVATORY– Retrospective Audit – Horizon scanning complete healthcare systems for providers, payers and regulators

An overview of the horizon scanning functionality from Observatory – all without changing clinical workflows, delivering unique insights across all of acute care and without the need for complex integration.

C2-Ai’s approach is different. Watch this short video to understand why and how this delivers unique insights and benefits.

Typical hospital monitoring and reporting can only see 10% of the avoidable variation and harm C2-Ai systems can detect and help resolve

Transformative, but not disruptive – systems with zero integration required

discrete metrics being tracked

of diagnoses

of patients tracked

of the time

million patient records

Countries providing patient data

Client countries

clinical workflows change

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.

ICS Observatory uses the most advanced, risk-adjusted horizon scanning for system-wide patterns & trends in avoidable harm and variation built around tracking 3,300 discrete metrics (many built up from individual level, precision clinical risk assessment) across the whole of acute care (medicine, surgery, mat/neo and nursing care).

Strengthen oversight and understand real performance and productivity across the whole of acute care provision (medical, surgical, mat/neo and nursing care)
Drilling down from hospital balanced scorecards through speciality, sub-specialty, complication, trigger, down to individual patient level
Driving the quality and clinical cost-effectiveness of each hospital to make optimal use of every healthcare pound
Provide region-wide risk profiling of acute care admissions
Make inferences about potential deficiencies in primary care from trends and disease progression from those admitted into acute care
Support planning for service provision in the shorter term, and inform evidence-based strategic transformation
Relating to the uniqueness of the patient profile and local challenges

Design policy, initiatives and interventions to respond to the detailed patient outcomes
Demonstrate appropriate governance;
Ensure accountability
Identify serious, potentially hidden issues to direct improvements and avoid scandals
Monitor and assure consistent quality of surgical outcomes (particularly whilst regions tackle the challenge to clear the waiting list backlog)
Identify and share best-practices more widely
Support assessment of outcomes drilled down across SDoH/EDI etc. (and hence identify inequities in outcomes)
Improve patient outcomes in the ICS.

Example report categories

Awards and recognition

C2-Ai has won numerous awards and been published in peer reviewed journals

“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