Cancer Informatics for Cancer Centers: Sharing Ideas on How to Build an AI-Ready Informatics Ecosystem for Radiation Oncology
The Cancer Informatics for Cancer Centers (CI4CC) community wrote this paper to answer a practical question: what does a cancer center need in place before AI can help in the clinic? The answer is mostly not models. It is data infrastructure, standards, governance, and workflows that make clinical data usable and keep humans responsible for decisions. Radiation oncology serves as the working example because its data is already digital and structured.
I contributed the industry-informatics perspective from GenomOncology’s work on curated knowledge bases and clinical decision support. The paper’s core position matches what I have argued since 2023: the model is the easy part, and the ecosystem around it decides whether AI is safe and useful in a clinic.