OncoLens AI Platform Reduces Cancer Care Delays at Florida Cancer Center

OncoLens' AI-powered analytics platform has assisted a major academic cancer center in Florida in significantly cutting patient referral delays and surfacing care gaps previously hidden within clinical notes.

A recent case study revealed that nearly 90 percent of actionable cancer data points existed solely in unstructured text, rendering them invisible to standard Electronic Medical Record (EMR) reporting. OncoLens' analytics tools enabled the center to increase on-time plastic surgery referrals from 58% to over 83%.

Furthermore, the platform eliminated a 6-to-12-month lag in registry updates, which previously hindered timely data analysis and response. This improvement allows for quicker patient care adjustments and enhanced coordination.

The implementation of OncoLens is expected to streamline cancer patient pathways and assist healthcare providers in more effectively identifying and addressing deficits in care. The AI's capability to analyze vast amounts of patient data unlocks insights previously difficult to obtain.