Case Study: Salisbury NHS Foundation Trust halves CT reporting time with DeepHealth Lung

A DeepHealth Case Study

Preview of the Salisbury NHS Foundation Trust Case Study

Salisbury NHS Foundation Trust cuts chest CT reporting time by 50% with DeepHealth

Salisbury NHS Foundation Trust, a healthcare provider in the UK, faced significant challenges due to a severely understaffed radiology workforce and a large backlog of diagnostic tests. Their existing method for analyzing lung nodules on chest CT scans was manual, time-consuming, and inherently inaccurate, creating a need for a more efficient and reliable solution. They implemented the DeepHealth Lung solution from vendor DeepHealth to address this.

The DeepHealth Lung AI tool automatically detects, measures, and tracks pulmonary nodules, integrating its analysis directly into the CT study. This solution reduced chest CT reporting time by approximately 50% for one consultant radiologist, who reported she was now doing twice as much reporting. The implementation by DeepHealth also improved diagnostic consistency, helped identify an early-stage cancer that may have been overlooked, and established a more robust nodule follow-up process.


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