AUMI AI Limited

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NHS Problem

According to the Clinical Radiology Workforce Census report by the Royal College of Radiology, the NHS has a 29% shortfall of clinical radiologists, which will rise to 40% by 2027. This shortage results in several issues: 90% of clinical directors are concerned that workforce shortages will impact patient safety. It also has a direct economic outcome as NHS has to spend an additional £223m to meet the demand, and this amount grows every year with an average rate of 7.8%. Most importantly, expenditures on pure outsourcing have increased from £81m to £143m (15.2% CAGR). 

The Solution

Our solution targets Chest and Abdominal CT scans, which account for over half of radiologists’ total time spent on image interpretation. This focus is particularly timely, as CT scans are becoming increasingly prevalent in England, growing annually at 5.8% – significantly outpacing the growth of other imaging methods like MRI (1.78%) and in stark contrast to the declining use of X-rays (-2.98%) and Ultrasound (-0.5%). 

Our product enhances the efficiency of CT reporting by highlighting a dozen clinically significant anomalies, automating the quantification for all detected findings and producing a comprehensive, prefilled report detailing every AI-detected finding. 

Impact

Our impact projections are grounded in comprehensive research as we approach our launch with the NHS. Our studies have shown that our product achieves a substantial 20% reduction in CT scan reading time, averaging a time-saving of approximately 2.5 minutes per examination. Additionally, it enhances diagnostic sensitivity by over 29%, while maintaining the same level of positive predictive value. 

Translating these findings into potential impacts for the NHS, considering its annual CT scan volume of 6.6 million, about two-thirds, or 4.4 million, are Chest and Abdominal scans, which our product can efficiently process. Implementing our solution across all NHS CT departments could yield significant annual time savings totalling approximately 180,000 hours. The time saved could also translate into financial savings for the NHS, reducing the need for outsourced radiological services and associated costs.