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 language | English |
|---|---|
| Pages (from-to) | 1393-1397 |
| Number of pages | 5 |
| Journal | Studies in Health Technology and Informatics |
| Volume | 327 |
| DOIs | |
| Publication status | Published - 15 May 2025 |
Keywords
- Cancer
- Decision algorithms
- Genetic testing
- Observational data
- Short-cycle evaluation
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