Digital and data-driven
One longitudinal record with structured worklists, outcomes, surveillance and exception reporting.
Executive overview
A digital, data-driven and virtual model of care designed to improve pathway safety, standardisation, efficiency and patient experience.
The case for change
Modern imaging identifies increasing numbers of pulmonary nodules. Most are benign, but a clinically important minority require structured follow-up and timely escalation. Manual tracking and fragmented communication create recognised risks.
Potential loss to follow-up, delayed diagnosis and inconsistent escalation.
Risk of over- or under-imaging and avoidable radiation exposure.
Anxiety caused by unclear communication and uncertainty around follow-up.
Administrative effort, duplicated investigations and poor visibility of pathway performance.
Strategic response
The programme combines a digital pathway, Virtual Lung Nodule Clinic model and staged innovation roadmap.
One longitudinal record with structured worklists, outcomes, surveillance and exception reporting.
Reduce unnecessary outpatient attendance while maintaining clinical review and accountability.
Create a governed foundation for later AI-enabled imaging support rather than introducing AI prematurely.
Intended impact
Pilot evaluation framework
Sustainability
Once integrated within local infrastructure and governance, the platform can support day-to-day operations beyond initial funding and provide a foundation for pathway evaluation and future digital innovation.
Benefits are expected to continue through reduced manual processes, improved pathway visibility, reusable integration capability and a scalable model that may inform other surveillance pathways.
These are intended programme benefits. Claims of achieved outcomes will only be published after structured evaluation and appropriate approval.
Clinical collaboration