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Integrating Real-World Data and Computational Guidelines: Designing a Dashboard for Nationwide Evaluation of Molecular Diagnostics in Oncology

  • Robin Pasman
  • , Femke J.C. Jacobs
  • , Rik Eshuis
  • , Cor D. de Kroon
  • , Matthijs Sloep
  • , Jurrian van der Werf
  • , Kees C.W.J. Ebben

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

Molecular diagnostics is essential for personalized treatment in oncology. However, nationwide insight into the use of molecular diagnostics in clinical practice and corresponding outcomes is lacking. This project focuses on the design, development and evaluation of a prototype dashboard that combines data from national registries and computational guidelines to reveal missing insights in molecular diagnostics in the Netherlands. Stakeholder input and practical testing highlighted challenges with data availability and usability. The project demonstrates the feasibility of using real-world data and computational guidelines to create a dashboard, supporting a continuous short-cycle learning process to enhance patient care.
Original languageEnglish
Pages (from-to)1393-1397
Number of pages5
JournalStudies in Health Technology and Informatics
Volume327
DOIs
Publication statusPublished - 15 May 2025

Keywords

  • Cancer
  • Decision algorithms
  • Genetic testing
  • Observational data
  • Short-cycle evaluation

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