Visibility That Drives Improvement: How AI Surfaces Hidden Delays in Cancer Care

Download the full case study to see how real-time, patient-centered analytics turned hidden delays into measurable change.
87.96% of actionable clinical data points at Tampa General Hospital existed only in unstructured text. Narrative notes. Pathology reports. Radiology impressions. The team knew delays were happening across their cancer program, but they couldn’t see them fast enough to act.
That changed when TGH implemented OncoLens. Genetics eligibility gaps became immediately visible. Plastics referrals that had been stalling silently were now trackable and fixable — more than 83% of consults are now scheduled within 14 days of surgical consult, up 25% from 58%. Registry case-finding that once lagged 6 to 12 months became real-time.
Over three care pathways and more than 10.2 million data points, OncoLens moved TGH from data curation to data-driven action, surfacing in real-time what previously took weeks of manual effort.