Case Study: NHS England improves lung cancer diagnosis timing with Harrison.ai CXR

How technology and timing came together for a potentially life-saving diagnosis.

The customer, NHS England, sought to expedite lung cancer diagnosis through its National Optimal Lung Cancer Pathway but faced challenges in ensuring timely review of all chest X-rays, as subtle abnormalities could be missed during initial evaluation, potentially causing critical delays. The vendor, Harrison.ai, implemented its Harrison.ai CXR solution to address this challenge.

Harrison.ai's solution is an AI that automatically analyzes X-rays, flagging critical findings and prioritizing those cases at the top of the radiographer's worklist. In a specific instance at North Tees and Hartlepool NHS Foundation Trust, the AI identified critical masses in a patient minutes after being activated, leading to an immediate review, a CT scan the next day, and a significantly accelerated diagnostic pathway. For NHS England, Harrison.ai's integration enhanced departmental efficiency, minimized the risk of missed findings, and helped ensure national care standards were met by providing timely diagnosis and intervention.

NHS England