Bridge Between Clinical and Operational Reality
Cancer registry data does not just describe care, it makes care measurable, comparable, and accountable across silos, sites, and time. When we translate clinical reality into operational truth, we turn anecdotes into evidence and dashboards into decisions that actually change outcomes. The question is not whether we have data, it’s whether we are using it […]
What It Means When a Cancer Registrar Says, “There Is No Room for AI in the Cancer Registry”
Why do cancer registrars say, “There is no room for AI in the cancer registry?” As a cancer registrar who advocates for thoughtful AI automation, I hear this phrase often. In most cases, it is not opposition to innovation. It is a signal of perceived risk without control. AI has been part of registry work […]
Why Saying AI Solutions Can “Do More With Less” Triggers Fear
“Do more with less.” Four words that can instantly trigger alarm for cancer registrars. For many, the phrase activates a stress response rooted in familiar pressures: unrealistic expectations, shrinking timelines, or a perceived loss of control. When a team is already operating at maximum capacity, it can widen the gap between what leadership expects and […]
Beyond Pathology: Building an End-to-End Casefinding Workflow
As cancer registry data management continues to evolve, optimizing casefinding workflows is essential for improving data accuracy while strengthening efficiency and productivity. Pathology is often the first—and primary—casefinding source. Intelligent casefinding and AI-driven extraction from pathology can improve timeliness, reduce errors, and streamline day-to-day work. Pathology reports are well suited to automation because their structured […]
How to Get ROI on Cancer Registry AI Software
When cancer registry AI software does not deliver the expected ROI, it is tempting to assume the technology is not working. Often, the real issue is that AI is being used to “optimize” workflows that were designed for manual work, legacy systems, and batch reporting. Instead of redesigning the end-to-end process, organizations layer AI onto […]
Human and AI: Better Together in the Cancer Registry
Cancer registrars are expected to keep pace with expanding requirements, improve timeliness, and deliver increasingly complex analytics, often without the option to add more staff. It is no surprise that the conversation turns to technology: automation, smarter workflows, and AI-supported casefinding and abstraction. But when AI is introduced as part of a “do more with […]
Social Determinants of Health in Cancer Care
Cancer care is often discussed in terms of diagnoses, treatments, biomarkers, and clinical outcomes. But many of the factors that influence whether a patient is diagnosed early, starts treatment on time, and completes therapy should also be considered. These are Social Determinants of Health (SDOH), the non-medical conditions in the environments where people are born, […]