With the rising demand for personalized cancer treatments, clinical diagnostic labs are under increasing pressure to expand their capabilities, boost test throughput, shorten turnaround times, and produce detailed, oncologist-ready reports that quickly align patients with the most suitable therapies and clinical trials. 

In this webinar, learn how QCI Interpret, clinical decision support software for variant interpretation and reporting, can help your lab accelerate clinical reporting workflows for high-throughput precision oncology NGS testing. The webinar will showcase QCI Interpret’s ability to streamline variant interpretation by dynamically computing pathogenicity and actionability for each variant based on ACMG and AMP/ASCO/CAP guidelines, covering more than 30,000 cancer types and subtypes with full transparency and supporting references. You’ll also learn how to utilize over 600,000 pre-formulated, oncologist-reviewed variant interpretation summaries to create customizable, up-to-date, oncologist-ready reports with detailed gene, variant, diagnostic, prognostic, and therapeutic information. Additionally, attendees will get an exclusive preview of the software’s new features designed to further optimize the somatic interpretation workflow. 

Viewers will:  

•  Discover how QCI Interpret’s newly added Reflex function allows you to effortlessly resubmit a pre-analyzed test for full curation, enabling you to obtain a comprehensive expert review and content for uncurated variants with ease.  

• Get a preview of the latest oncology workflow enhancements, including retaining user-specific treatment decisions in a variant-diagnosis specific manner, automatic reapplication of the somatic reporting policy when pathogenicity classification or reportability status changes, and the addition of ClinGen/VICC scores in the variant details page. 

• Explore how QCI Interpret, a panel- and sequencer-agnostic software and its underlying knowledge base that integrates QIAGEN's expert curation with AI-powered machine curation to enable accurate, consistent identification of relevant literature, treatments, and clinical trials, provides an optimal solution that addresses key bottlenecks in your clinical oncology workflow.