Download the PDF to learn how cancer centers can use AI-enabled workflows to close the NSCLC biomarker testing gap and support more timely, precise care.
Comprehensive biomarker testing is essential to precision oncology in advanced NSCLC, yet many cancer programs still face gaps caused by fragmented ordering workflows, tissue limitations, inconsistent follow-up, and limited visibility into missing or pending results.
Explore how AI-driven tools and workflow innovations can help cancer centers improve testing rates through reflex NGS ordering, EHR-based alerts, AI surveillance dashboards, automated outreach, liquid biopsy pathways, tumor board integration, and formal quality measurement.
Gain practical ideas for identifying testing gaps, assigning accountability, improving equity, and building more reliable processes for timely, guideline-concordant biomarker testing.
Latest
