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
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.
Trauma Registry Data: Turning Raw Data into Real Insight
Trauma registry data holds untapped value—see why accuracy and timeliness matter and how programs can turn it into actionable insight.
Why AI in Healthcare Carries Higher Stakes Than Other Industries
Healthcare organizations need more than AI accuracy. Learn how guardrails, oversight, and accountability reduce risk and build trust.