FirstWord HealthTech’s ViewPoints feature explores how Novellia’s AI-enabled health data platform is powering Project EVEREST, a bold, cross-industry initiative to address disparities in breast cancer treatment.
Despite well-established breast cancer treatment guidelines, adherence remains inconsistent, especially in community settings. Backed by top-tier research institutions and leading biopharma companies such as Daiichi Sanyko, AstraZeneca, and Genentech, Project EVEREST seeks to identify the systemic and clinical barriers that prevent consistent, evidence-based care.
In a recent interview with FirstWord HealthTech, Novellia CEO Shashi Shankar discussed how EVEREST leverages the platform’s unique design of combining AI, longitudinal patient records, and direct patient authorization to illuminate why these gaps persist and how to close them.
Unlike legacy platforms that rely on data brokers, Novellia accesses data directly through patient consent. This allows for real-time aggregation of clean, structured data from across tens of thousands of clinics and EMRs creating a more complete and representative view of patient care. For Project EVEREST, this means researchers can see the entire patient journey, across community and academic settings, and identify where and why care deviates from guidelines.
EVEREST leverages one of the richest longitudinal oncology datasets in the U.S., drawing from multimodal records including labs, EMRs, pathology, and more. This depth and breadth allow researchers to uncover nuanced, systemic drivers of variation rather than just surface-level trends, making it possible to pinpoint actionable barriers to consistent, evidence-based care.
Project EVEREST builds on Novellia’s established methodology, which has already delivered impactful insights published in peer-reviewed studies and presented at major oncology conferences such as ASCO and SABCS. This proven approach ensures that findings from EVEREST are robust, credible, and ready to inform real-world interventions that improve outcomes.
Subscribers can read the full feature here: https://firstwordhealthtech.com/story/5973071
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