Prototypical Visualization of Patient Similarities in cBioPortal to Enhance Decision-Making in Molecular Tumor Boards...35th Medical Informatics Europe Conference (MIE 2025), May 19-21, 2025, Glasgow, Scotland.

Background: Patient similarity analysis is pivotal in cancer research and clinical oncology, aiding in identifying patterns among patients with similar clinical and molecular profiles to guide therapeutic decisions, particularly in Molecular Tumor Boards (MTB), where therapy decisions are frequently...

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Publicado en:Studies in Health Technology & Informatics Vol. 327; pp. 487 - 492
Autores principales: BOSSENZ, Jan, MANUILOVA, Iryna, WEISE, Annemarie Bianka, SCHULZE, Susann, HIEMER, Sonja, ESZLINGER, Markus, BOERRIES, Melanie, BUSCH, Hauke, BOEHM, Dominik, UNBERATH, Philipp, REIMER, Niklas, STRANTZ, Cosima, CHRISTOPH, Jan
Formato: proceedings research tables/charts Journal Article
Publicado: Sage Publications Inc. 2025
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Prototypical Visualization of Patient Similarities in cBioPortal to Enhance Decision-Making in Molecular Tumor Boards...35th Medical Informatics Europe Conference (MIE 2025), May 19-21, 2025, Glasgow, Scotland.
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          BOSSENZ, Jan
          MANUILOVA, Iryna
          WEISE, Annemarie Bianka
          SCHULZE, Susann
          HIEMER, Sonja
          ESZLINGER, Markus
          BOERRIES, Melanie
          BUSCH, Hauke
          BOEHM, Dominik
          UNBERATH, Philipp
          REIMER, Niklas
          STRANTZ, Cosima
          CHRISTOPH, Jan
        affil: Junior Research Group (Bio-)Medical Data Science, Faculty of Medicine, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany.
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        subj:
          Computer Graphics
          Decision Support Systems, Clinical
          Neoplasms Therapy
          Neoplasms Familial and Genetic
          User-Computer Interface
          Patient Portals
          Congresses and Conferences Scotland
          Scotland
          Human
          Funding Source
          Oncologic Care
          Automation
          Machine Learning
          Software Design
          Individualized Medicine
          Patient Centered Care
          Collaboration
          Multidisciplinary Care Team
          Mutation
          DNA Methylation
      ab: Background: Patient similarity analysis is pivotal in cancer research and clinical oncology, aiding in identifying patterns among patients with similar clinical and molecular profiles to guide therapeutic decisions, particularly in Molecular Tumor Boards (MTB), where therapy decisions are frequently informed by the treatment experiences of previously treated similar patients. However, the lack of standardized tools for automation and visualization limits efficiency here, especially in individualized MTB decisions. Objective: This study aims to develop a graphical user interface that aligns with clinician preferences to enhance patient similarity assessments and support decision-making in MTBs. Methods: Visualization concepts were developed through iterative design and evaluation cycles involving clinical experts. Mock-ups were created to represent various approaches for displaying patient similarities, focusing on molecular data relevant to MTB decisions. Results: Various designs were developed for visualizing patient similarity in cBioPortal. These include tabular views, network representations, and radar plots. Conclusions: These visualizations offer promise in enhancing decision-making in MTBs by making patient similarity assessments more accessible. Future development will focus on additional functionalities and better integration into clinical workflows.
      pubtype: Academic Journal
      doctype:
        proceedings
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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