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 registrars must ensure that cases not easily found are still identified and collected in the registry system. Best practices must extend beyond cases pathologically or radiographically confirmed to include encounters driven by symptoms or clinical diagnoses that never generate a pathology report within the hospital walls.
Too often, these cases are dismissed as “edge cases,” or statistically irrelevant. In cancer surveillance these are not rare anomalies or incidental, they are systematic gaps that recur in predictable ways. If left unaddressed in the casefinding process, they distort hospital caseloads, weaken quality reporting, and perpetuate inequities in cancer care (Deppen et al., 2020).
AI automation changes the paradigm. Instead of cancer registrars reactively chasing patients through the system by manual review, AI-automation proactively surfaces hidden cases from all in- and outpatient sources. By embracing leading-edge practices, registrars transition from clerical based workflows to efficient stewardship of oncology data, ensuring every patient is captured and the cancer program can stand on solid ground (NAACCR, 2024).
To start identify one “gap” casefinding source in the system, such as review of all encounters on the medical disease index, not a pre-filtered set. Or all consultations, treatment summaries, and treatment records for outpatient departments who provide direct, and indirect, cancer-related care. Confirm the data source is properly configured and flows into the casefinding process and cancer registry software. If the gap is not automated, start with an electronic export or Excel reconciliation process while you make the case for AI-enabled automation.
Casefinding is not merely data entry work. It is clinical, equity in action, and it is the standard by which cancer programs protect the integrity of patient care.
Post was first published on LInkedIn.
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