Advancing Precision Oncology Through GenAI Enabled Real World Data

Next Generation AI Enabled Institutional Honest Broker

Launching in 2026, this national initiative leverages Integra Connect, and aims to establish a next-generation, GenAI-enabled oncology data and digital infrastructure that unifies electronic medical records, disease registries, quality initiatives, value-based care programs, and precision oncology workflows across participating health systems. By integrating structured and unstructured clinical data with multi-omic data sources—including genomics, pathology, imaging, and molecular diagnostics—the initiative creates a scalable, interoperable foundation to support real-world evidence generation, clinical trials, and learning health systems.

At its core, the initiative addresses the rapid evolution of care in oncology—a shift from traditional fee-for-service models toward a patient-centered, data-driven approach focused on delivering high-quality, personalized care while optimizing outcomes and managing costs. As cancer has become the most costly disease for both commercial and government payers, employers and payers are increasingly implementing strategies such as prior authorization, site-of-care optimization, and alternative payment models. Oncology providers are likewise assuming greater financial risk through pay-for-performance, capitation, and pathway-driven care, making accurate, timely data and analytics essential for clinical, operational, and financial sustainability.

A central focus of this effort is harmonizing data standards and models across cancer registries, quality reporting frameworks, and alternative payment models to reduce fragmentation and enable longitudinal, patient-centered insights. Advanced analytics and AI-enabled services will support cohort discovery, clinical trial matching, outcomes measurement, and continuous quality improvement—delivering actionable insights at the point of care while preserving data governance, privacy, and institutional autonomy through federated, privacy-preserving architectures.

By aligning clinical care, research, digital platforms, and data science, this initiative seeks to define and operationalize the evolving intersection of precision medicine, value-based oncology, and clinical research. Ultimately, it aims to transform complex, siloed oncology data into actionable intelligence that improves patient outcomes, strengthens value-based cancer care delivery, accelerates clinical research, and lowers barriers to multi-institutional collaboration at a national scale.

To request participation in one of our monthly workshops, please email maryjo@ci4cc.org