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Related Concept Videos

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Related Experiment Video

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Constructing and Visualizing Models using Mime-based Machine-learning Framework
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User-centered design approach to visualize PROMs for molecular tumor boards.

Sara Bäcker1, Brita Sedlmayr2, Miriam Goldammer2

  • 1Institute for Medical Informatics and Biometry, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany. sara.baecker@tu-dresden.de.

NPJ Precision Oncology
|August 5, 2025
PubMed
Summary

Patient-Reported Outcome Measures (PROMs) integration into Molecular Tumor Boards (MTBs) is challenging. This study developed a cBioPortal prototype to visualize PROM data, aiming to improve oncology care by addressing visualization and workflow gaps.

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Area of Science:

  • Oncology
  • Health Informatics
  • Data Visualization

Background:

  • Integrating Patient-Reported Outcome Measures (PROMs) into Molecular Tumor Boards (MTBs) presents significant challenges.
  • Current data visualization and clinical workflow integration hinder the effective use of PROMs in oncology.

Purpose of the Study:

  • To identify visualization requirements for PROMs within MTBs.
  • To develop and evaluate a prototype for integrating PROMs into cBioPortal for enhanced oncology care.

Main Methods:

  • Qualitative research approach including persona development and co-design workshops.
  • Literature-based requirements analysis and an online survey of German MTB physicians.
  • Development and usability evaluation of a mid-fidelity cBioPortal prototype.

Main Results:

  • Identified key visualization needs: intuitive display, clear labeling, and longitudinal tracking.
  • Developed a prototype integrating PROMs into cBioPortal's timeline and a dedicated tab.
  • Prototype achieved a System Usability Scale (SUS) score of 67, indicating acceptable initial usability.

Conclusions:

  • PROMs offer valuable patient insights but are underutilized in MTBs.
  • The developed prototype shows potential for bridging the gap in PROMs integration.
  • Future work includes implementation, broader testing, and international validation for wider adoption.