The role of the Cancer Registrar has undergone a massive transformation, so massive it is was renamed. No longer just “data entry clerks,” today’s Oncology Data Specialists (ODS) are clinical data navigators. They manage complex accreditation standards, analyze survivorship patterns, and ensure compliance in an era where data is the most valuable asset in the oncology center.

The Challenge: Data Fatigue

A 2026 ODS is faced with a tidal wave of information: pathology, radiology, genetic markers, and complex treatment cycles. Legacy platforms—those green-screen or “web-wrapped” older systems—actually make this job harder by forcing manual casefinding and “blind” abstraction, where the user must toggle between four different windows to find a single ICD-O code.

Empowering the Modern ODS with KACI

NeuralFrame’s KACI platform is designed to be the Knowledge Assistant the ODS role requires to thrive:

• Augmented, Not Replaced: KACI’s HL7 Casefinding evaluates diagnostic terms and negation phrases automatically, but keeps the ODS in the driver’s seat. Key cancer-related terms are highlighted for quick identification, while negation phrases are flagged, allowing for a faster and more efficient review process.

• Real-Time Validation: KACI’s streamlined interface identifies edits automatically. All validation errors display field requirements instantly, and the system allows you to add custom fields to capture facility-specific information beyond standard requirements.

• Strategic Reporting: With KACI, an ODS can build custom pivot tables and multi-facility drilldowns directly within the app. You can copy and create custom reports with rollups and subtotals, allowing you to share insights at the organization, facility, or individual user level.

The modern ODS doesn’t need a digital filing cabinet; they need a platform that helps them “find a match faster” and provides “best-of-breed” reporting to the C-suite. That platform is KACI.