We’re excited to share that the Q-Centrix abstract, Assessing How Racial Identify Correlates With Time To Surgery Initiation Among Early-Stage Breast Cancer Patients, has been accepted and will be shared as a poster presentation at the American Society of Clinical Oncology (ASCO) Quality Symposium. This thought-provoking study focuses on odds ratios of black breast cancer patients receiving surgery within an optimal timeframe versus those of white breast cancer patients. View it during Poster Session B on October 11.

2025 ASCO Quality Symposium
October 10-11, 2025
Chicago, Illinois

Related Insights
How AI Is Scaling Clinical Data Abstraction
AI is helping health systems scale clinical data abstraction as the volume and complexity of clinical documentation continue to grow.
The Untapped Value of Oncology Registry Data
See how oncology analytics can transform cancer registry data into actionable insights for growth, patient engagement, market strategy, and revenue.
Introducing Prodigy™: MRO’s AI Engine for Clinical Data Abstraction
Discover how MRO’s AI engine combines AI, confidence modeling, and clinical expertise to deliver accurate, defensible clinical data abstraction.