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...
| Publicado en: | Studies in Health Technology & Informatics Vol. 327; pp. 487 - 492 |
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| Autores principales: | , , , , , , , , , , , , |
| Formato: | proceedings research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=185459224&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 185459224 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09269630 U1V jtl: Studies in Health Technology & Informatics issn: 09269630 maglogo: N pubinfo: dt: 2025 vid: 327 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 185459224 185459224 185459224 10.3233/SHTI250385 185459224 ppf: 487 ppct: 5 formats: tig: 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. aug: au: 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. sug: 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 refInfo: holdings: @attributes: islocal: N |
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