Case Study: Bradford Teaching Hospitals improves chest X-ray prioritisation and diagnostic support with Harrison.ai

The ‘second set of eyes’ helping radiology experts at Bradford Teaching Hospitals

Bradford Teaching Hospitals, a UK-based NHS Trust, sought to enhance the accuracy and speed of diagnosing respiratory conditions like lung cancer. As part of the Yorkshire Imaging Collaborative, they procured a grant to find an AI tool that could prioritize patient cases and support their radiology staff. They partnered with Harrison.ai to implement its chest x-ray analysis solution, Harrison.ai CXR.

The solution from Harrison.ai provided a 'second set of eyes' for radiologists, analyzing x-rays in minutes to prioritize urgent cases and support clinical decision-making. A retrospective study showed the tool correctly identified all cases of multiple lung lesions and pneumothorax, and had a 98.8% accuracy rate in confirming the absence of a single lesion. This has led to faster diagnosis and treatment for patients. Harrison.ai has since become an established platform at the trust, which has also adopted the vendor's CT Brain solution.

Bradford Teaching Hospitals

Anna Jowett

Advanced Radiographic Practitioner