A new startup is born out of The Conclude Consultancy.
On September 18th 2019, TCC-CASEMIX Limited was incorporated at Companies House. Dr Bacon designed and conceived the new Med Tech business to be an exemplar of transformational change in acute NHS hospitals, by driving substantial improvements in productivity, and revenue generation in surgical services delivery.
From deficit to sustainable productivity
The transformational change is designed to raise productivity by 20% and improve surgical revenues for a typical NHS trust by circa £7.5m per year, at a time when the majority of acute NHS trusts are running deficits.
February 2019: The NHS Improvement report [Opportunities to Reduce Waiting Lists] identified that nearly 300,000 patients each year had their urgent operations cancelled, directly because of poor planning. Currently, 54% of all surgical procedures over-run, resulting in cancelled operations. 43% of them under-run, leaving operating theatres standing idle. This also leads to a loss of revenues for all 156 acute trust of £1.25b annually. (ref: NHS Reference Cost datasets).
The government sponsored Getting it Right First Time reports provide the detailed evidence for poor planning. The General Surgery Report explains the situation in these terms: “surgeons have never typically collected surgical procedure duration data. ”
Without such data how can there ever be predictability of surgical services delivery? Well there can’t be is the simple answer. However it is more complex than that. This is because evidence collected by The Conclude Consultancy from surgical procedure duration data across European hospitals identifies that without systematic data collection at detailed procedure level, there will always be a high degree of procedure duration variability.
TCC-CASEMIX (TM) addresses this need with novel real-time data capture technologies designed for use in operating theatres.
Data captured from these technologies is then stored in a sophisticated database of surgical procedures. The database runs automated machine learning algorithms to produce a detailed statistical analysis of all procedure types. It is these analytics that are then processed in surgical simulations to optimise operating theatre sessions.
Now for the first time, it will be possible to optimise the case-mix for theatre sessions using a robust evidence-based dataset. As a technology founded on open standards and fully compliant with international standards of procedure coding, no other ‘current-state-of the -art’ commercial solution today can come anywhere close to what is being offered by the new business.
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