Modelling and Implementation of a Precision-Oncology Data-Integration Platform for Real-Word Molecular Tumor Borad Decision-Making.
Summary
This study describes the development and implementation of an integrated platform designed to support decision-making within Molecular Tumor Boards (MTBs) in precision oncology. The platform utilizes an ETL (Extract, Transform, Load) process to consolidate heterogeneous clinical and molecular data, including next-generation sequencing (NGS) results. It automates data loading, significantly reducing clinicians' manual data entry time and providing an integrated view of patient status. From February 2024 to September 2025, the platform collected data from 1,119 patients and 1,221 NGS results, with therapeutic recommendations made for 30% of cases.
Analysis
This platform is of paramount importance for precision oncology as it addresses a major challenge: the efficient integration and interpretation of increasing volumes of complex molecular data into clinical practice. By automating data consolidation and providing a unified view, it optimizes clinicians' time and improves the quality and speed of personalized therapeutic decisions. This represents a significant step forward for the practical implementation of MTB recommendations and the enhancement of cancer patient care, making precision oncology more accessible and efficient.