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Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
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Modelling and Implementation of a Precision-Oncology Data-Integration Platform for Real-Word Molecular Tumor Borad

Julia Hernández-Pérez1,2, Ángel Martínez-González3, Sandra Cruz-Ballesteros3

  • 1Digital Transformation and Biomedical Engineering Group, Research Institute Hospital 12 de Octubre, Madrid, Spain.

Studies in Health Technology and Informatics
|May 23, 2026
PubMed

Insights

This study introduces an integrated platform to streamline molecular tumor board (MTB) decision-making. It consolidates clinical and genomic data, reducing manual entry and improving precision oncology workflows.

Area of Science:

  • Oncology
  • Bioinformatics
  • Clinical Informatics

Background:

  • Precision oncology (PO) utilizes next-generation sequencing (NGS) to match cancer therapies with tumor molecular profiles.
  • Challenges exist in integrating NGS data into clinical workflows and Molecular Tumor Board (MTB) decision-making.

Purpose of the Study:

  • To develop and evaluate an integrated platform supporting MTB decision-making.
  • To consolidate heterogeneous clinical and molecular data for improved patient management.

Main Methods:

  • An ETL (Extract, Transform, Load) process was used to integrate diverse data sources.
  • The platform automated data loading, reducing manual data entry for clinicians.
  • 69 variables including clinical, molecular, and MTB recommendations were integrated.

Main Results:

  • The platform processed data from 1,119 patients and 1,221 NGS results between February 2024 and September 2025.
  • 30% of cases received therapeutic recommendations through the platform.
  • Automated data integration significantly reduced clinician time and provided a unified patient view.

Conclusions:

  • The integrated platform enhances clinical care and data interoperability in PO.
  • This approach supports real-world MTB workflows and facilitates data-driven treatment decisions.
  • The system promotes efficient integration of genomic data for precision cancer therapy.
Keywords:
AutomatizationElectronic Health RecordIntegrationMolecular Tumor BoardNGSPrecision medicine

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