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ANALYSIS OF SOURCES

Spotlight on UK (12 months).  Figures calculated from the delta in performance based on our risk-adjusted performance statistics across representative UK hospitals.

Estimated cost savings derived from our operational expenditure tracker, using costings per avoidable harm instance and generating a total saving over the 12 month period as a delta on the avoidable harms by type, multiplied by the cost per incidence.

Mortality rate (raw) and risk adjusted information from real hospital information.

10% reduction in clinical negligence claims based on study of reduction in complaints in a hospital using our system.  

120 million patient records and 46 source countries covers the instances of care we have access to for our work and the range of locations that share data with C2-Ai to enrich the data set and help in our validation in topic specific areas.

100% of surgical interventions indicates that 100% of patients and hence clinical codings are considered by C2-Ai in comparison to systems that sample instances of care and operations either as a functional sampling approach or on a self-reporting basis.

100% of diagnoses in clinical codings for each patient are considered by our algorithms. 

2m saving per hospital based on 3 UK hospitals with potential savings indicated in each using our systems and then evaluated financially through the use or our operational expenditure tracker which ascribes a sum as the cost to a hospital of the direct costs to resolve the respective instances of harm.  The accumulated cost savings to return the hospital to nominal performance were considered and totalled with a £2.3m average across the three hospitals studied by C2-Ai.

50% reduction in AKI was achieved with North Devon Trust through our identification of the issue and then a targeted programme of improvements tracked using our trend analysis of triggers avoidable harms.

30x return on investment reflects average savings achievable in three hospitals studied compared to a representative annual license fee for those hospitals.  If all savings accrued, the actual RoI would be 45 times the fees to C2-Ai.

Anastamotic leak rate comparisons to NSQIP reporting as analysed by our CMO and compared to our global referential data set.

References provided directly to C2-Ai by the individual clinicians/managers.

30 years of research reflects the expert study in the field of our CMO, followed on by collaborative development including 10 years of work within the company.

Fewer readmissions evidenced by trend information from our reporting in multiple hospitals.

HDU/ITU requirements identified through the extrapolation of current performance and patient numbers in hospitals, plus the appropriate/inappropriate escalation of patients to higher levels of care.  

Improvement in rankings created by demonstrable highlighting of hospital performance and trends over time – providing evidence for regulatory bodies and argumentation to refute unfair criticisms while highlighting good performance.  (See King Edward VII reference).

Reduction in beds blocked created by lowering of avoidable harms (meaning patients do not linger in hospital having the harms treated) and reductions in readmission rates.

Reporting from multiple sources on surgeons concerned that simple metrics reporting lead them to avoid some higher risk operations/procedures.

Reduction in avoidable harms and a focus on improvement reduces the harms which create variability in cost per treatment and also lower the average cost per treatment for a hospital.

 

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