Accelerate Post-Approval Research By Streamlining the Entire Study Lifecycle

As oncology therapies mature, the pressure to meet post-marketing commitments and support label expansion increases. Many post-approval studies rely on rigid frameworks built for investigational drugs, leading to slow enrollment and workflows that clash with routine care. The Scalable Platform for Integrated Research & Evidence (SPIRE) addresses these challenges by embedding prospective research directly into the clinical environment.

By utilizing AI-driven patient identification integrated within EHR workflows, this model minimizes site workload while encouraging broader, more representative participation. Pragmatic protocols align endpoints and assessments with standard clinical documentation, capturing high-quality data for regulatory requirements and medical evidence generation without the traditional overhead. This approach ensures scientific rigor is maintained through a streamlined, tech-enabled network. Accessing these insights reveals how to bridge the gap between retrospective data and traditional trials to accelerate a therapy's real-world impact.