February 15, 2026 / Last updated : February 15, 2026 Michele Webb artificial intelligence 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 […]
February 15, 2026 / Last updated : February 15, 2026 Michele Webb artificial intelligence 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 […]
February 15, 2026 / Last updated : February 15, 2026 Michele Webb Cancer Registry The ODS’ AI Strategy As oncology data specialists (ODS’ or cancer registrars), being a good steward of technology and resources means the team (cancer registrars, administrators, IT, and vendors) develop a strong strategy, define the problem(s), set expectations, and measures results.
October 21, 2025 / Last updated : November 18, 2025 Michele Webb Cancer Registry Think Beyond the Obvious The real challenge is finding what was missed. In an earlier post we explored how clinically diagnosed lung cancers often escape case finding. But the problem runs deeper: incomplete casefinding does not just miss patients—it reshapes the national picture of cancer itself. When symptom-based encounters, LDCT screening and imaging reports with ambiguous terminology, or clinical […]
October 21, 2025 / Last updated : November 18, 2025 Michele Webb Cancer Registry Close the Gap: Lung Cancer 1 in 10 lung cancers are clinically diagnosed.Weak casefinding = missed cases. Roughly 1 in 10 lung cancers in the US are not pathologically confirmed, representing thousands of clinically diagnosed cases not collected in the cancer registry (SEER, 2025). These cases may be overlooked if limited ICD-10 code sets are used that do not account […]
October 21, 2025 / Last updated : November 18, 2025 Michele Webb Cancer Registry Close the Gap You can’t manage what you don’t count.Missed cases silently erode credibility and performance. Hospitals feel the financial and operational drag of delayed or missed case reporting long before it shows up in dashboards. The rationale, backed by research, is simple: every missed case requires extra work, delays reporting, and weakens quality, treatment outcomes, and value-based […]
October 21, 2025 / Last updated : November 18, 2025 Michele Webb Cancer Registry Case Finding is the Foundation Finding EVERY cancer case is not optional.It is foundational to cancer program integrity. Casefinding is not just a cancer registry workflow. It is the foundation of every cancer program quality measure, accreditation, and KPI. Without it, the cancer registry is not only under-performing but puts the hospital credibility at risk. Every case matters and cancer […]
July 3, 2025 / Last updated : July 3, 2025 Michele Webb ODS-C artificial intelligence Your Data Should Travel as Far as Your Patients Outpatient cancer care reaches miles into the community.So should your Registry data. In today’s landscape, relying on inpatient-only records or admission (ADT) codes is a fast track to missed cases and incomplete reporting. To read or download the entire article, click here hashtag#OncologyData hashtag#HealthIT hashtag#OutpatientCare hashtag#Casefinding hashtag#AIinOncology hashtag#ThePowerOfOne hashtag#MicheleWebbODS
July 3, 2025 / Last updated : July 3, 2025 Michele Webb ODS-C artificial intelligence Outpatient Oncology is Redrawing the Map-Is Your Registry Keeping Up? Outpatient cancer care now accounts for the majority of services—but is your registry still operating on less than 100% of all the casefinding and abstracting source documents? If you can’t see the data, you can’t count it. In my new article, “Outpatient Oncology Is Redrawing the Map—Is Your Registry Keeping Up?” learn how cancer registrars […]
February 1, 2025 / Last updated : February 1, 2025 Michele Webb ODS-C artificial intelligence Changing Perceptions About AI The blog post said not to use artificial intelligence (AI). Or at least that is what caught my eye. After re-reading the post again I was relieved to see the author was concerned about how it was being used for a specific workflow and application, not related to healthcare. It made sense in that setting, but it did make me think. There is so much noise about the use of artificial intelligence these days for just about everything we do at work or at home. Oncology Data Specialists (ODS’) and oncology service line administrators might easily get caught up in the AI noise and dismiss its use in the cancer registry setting which could be a huge mistake. There are appropriate uses of AI in the Registry and it is important that you understand the use cases and benefits.