ESMO real world data and digital oncology
From free text to structured genomics: future-proofing cancer registries for precision oncology
By Zohner J, Kuhl C, Schmid K and 3 others.
Abstract
Molecular pathology has become central to precision oncology, but German cancer registry data structures were designed for simpler molecular findings. This study argues that registries need a minimal, structured, and interoperable representation of molecular variants that remains compatible with data minimization and existing reporting infrastructures. Using the German oncology core dataset (nationally standardized oncological core dataset for cancer reporting-einheitlicher onkologischer Basisdatensatz [oBDS]) as an example, we outline conceptual principles for a backward-compatible molecular data structure and propose a future agenda for consensus-building, pilot implementation, and impact evaluation.
Keywords
- cancer registries
- interoperability
- molecular pathology
- precision oncology
- real-world data
- structured genomic data
Source
Published in ESMO real world data and digital oncology. The abstract is shown as published and remains the work of its authors; read the full article at the source.
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