Advancing Usability and Decision Support for Molecular Tumor Boards: Insights from PM4Onco’s Visual Analytics Workshop

The PM4Onco project aims to optimize cBioPortal for use in Molecular Tumor Boards (MTBs), enhancing its usability in the clinical setting and integration of clinical and genomic data. A visual analytics workshop at the PM4Onco Symposium 2024, organized in a co-creative and participatory manner, using a user-centered design (UCD) approach, identified key improvements through discussion among involved stakeholders and exchange of perspectives. These improvements included customizable workflows, role-based access controls, and advanced visualization tools like time-series plots and patient similarity metrics. Participants also highlighted the need to address media silos and ensure seamless data integration from external sources like electronic health records (EHRs). Decision support systems, especially those leveraging annotation sources, were emphasized to improve the interpretation of molecular findings and provide therapy recommendations. The workshop ensured that new features would be practical, user-friendly, and aligned with the specific needs of MTB users, facilitating more efficient clinical decision-making and enhancing the platform's functionality in personalized oncology.

Authors

Institutions

Publication Details

Journal
Studies in health technology and informatics
Published
2025-05-15
DOI
https://doi.org/10.3233/shti250390
Primary Topic
Biomedical and Engineering Education
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Advancing Usability and Decision Support for Molecular Tumor Boards: Insights from PM4Onco’s Visual Analytics Workshop

Philipp Unberath, Cosima Strantz, Dominik Boehm
Studies in health technology and informatics
Biomedical and Engineering Education
article

Advancing Usability and Decision Support for Molecular Tumor Boards: Insights from PM4Onco’s Visual Analytics Workshop

Philipp Unberath, Cosima Strantz, Dominik Boehm
article en

Abstract

The PM4Onco project aims to optimize cBioPortal for use in Molecular Tumor Boards (MTBs), enhancing its usability in the clinical setting and integration of clinical and genomic data. A visual analytics workshop at the PM4Onco Symposium 2024, organized in a co-creative and participatory manner, using a user-centered design (UCD) approach, identified key improvements through discussion among involved stakeholders and exchange of perspectives. These improvements included customizable workflows, role-based access controls, and advanced visualization tools like time-series plots and patient similarity metrics. Participants also highlighted the need to address media silos and ensure seamless data integration from external sources like electronic health records (EHRs). Decision support systems, especially those leveraging annotation sources, were emphasized to improve the interpretation of molecular findings and provide therapy recommendations. The workshop ensured that new features would be practical, user-friendly, and aligned with the specific needs of MTB users, facilitating more efficient clinical decision-making and enhancing the platform's functionality in personalized oncology.

Studies in health technology and informaticsVol. 327
Friedrich-Alexander-Universität Erlangen-Nürnberg (DE), Universitätsklinikum Erlangen (DE), Cancer Research Center (US), Klinikum Fürth (DE)
Friedrich-Alexander-Universität Erlangen-Nürnberg
Openalex Percentile: Top 75%
Biomedical and Engineering Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.