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Challenges
Lung cancer is the leading cause of cancer-related deaths worldwide, yet it is notoriously challenging to spot early enough to enable positive treatment outcomes. The goal here was not only to detect the disease much earlier but also to improve patient outcomes and help overstretched radiologists manage soaring workloads.
Solution
MeVis Veolity is a dedicated software solution for supporting detailed lung diagnostics. It detects solid, part-solid, non-solid, and calcified nodules very quickly and accurately thanks to its deep-learning AI capabilities. As well as being highly efficient, Veolity is impressively accurate and consistent in its detection, measurement and reporting. Veolity provides rich reporting, controlled by the radiologist, as well as the ability to exchange clinical data with other platforms, saving a lot of time that would otherwise be spent re-entering findings. With the support of SynApps Solutions, UCLH has introduced Veolity alongside Nelson+, a dedicated screening workflow platform which directly integrates with Veolity. View the Case Study here.
Project Success
- Veolity provides rich reporting, controlled by the radiologist, as well as the ability to exchange clinical data with other platforms, saving a lot of time.
- Radiologists can typically read images 47% faster with Veolity than processing manually.
- The Veolity platform delivers accurate clinical baseline metrics as well as the ability to automatically propagate those results when the patient returns.
The SynApps Difference
SynApps deployed the Mevis Veolity application alongside Nelson+, a dedicated screening workflow platform, which directly integrates with Veolity. This helps to manage the end-to-end screening process, from patient appointment scheduling to managing the reporting list and sending out letters to the patient to scheduling screening review meetings. The easy integration of the two systems, in conjunction with the trust’s electronic patient record (ePR) system, streamlines all lung screening-related work and avoids the complexity of trying to incorporate use of the trust’s picture archiving and communication system (PACS) or radiology information system (RIS) for reporting or for on-demand access to specific insights.
