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Updated: Jul 31, 2025

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Published on: August 15, 2019

Software-Tool Support for Collaborative, Virtual, Multi-Site Molecular Tumor Boards.

Matthieu-P Schapranow¹, Florian Borchert¹, Nina Bougatf²

¹Hasso Plattner Institute for Digital Engineering, University of Potsdam, Prof.-Dr.-Helmert-Str. 2-3, 14482 Potsdam, Germany.

SN Computer Science

|May 3, 2023

Summary

This summary is machine-generated.

Software tools and defined processes streamline Molecular Tumor Boards (MTBs) by integrating complex molecular data and facilitating collaboration among oncologists for improved cancer treatment decisions.

Keywords:

Clinical process Collaborative Molecular tumor board Multi-site Personalized medicine Software tool Virtual

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Area of Science:

Oncology
Medical Informatics
Health Services Research

Background:

Molecular Tumor Boards (MTBs) are crucial for personalized cancer care, but their implementation is hindered by complex data assessment and time-consuming processes.
Challenges include retrieving the latest research, evaluating clinical evidence, and aligning with current guidelines, slowing down effective decision-making.

Purpose of the Study:

To analyze existing tumor board processes and define clinical workflows for the adoption of MTBs.
To develop and evaluate a software prototype that supports the preparation and conduct of MTBs, enhancing collaboration among medical experts.

Main Methods:

Utilized design thinking methodology with interdisciplinary teams (clinicians, oncologists, informaticians, engineers).
Identified challenges, derived clinical process models (BPMN), and defined requirements for software support.
Developed and evaluated software prototypes with clinical experts from major German university hospitals, extending Kanban methodology for case tracking.

Main Results:

Developed clinical process models and a software prototype that provide suitable support for MTB preparation and conduction.
The software enables collaboration across hospital locations, creating a shared knowledge base for oncologists.
Key features include linking to medical knowledge, assessing clinical evidence, collaborative case discussion, and efficient case data presentation.

Conclusions:

Oncologists require specialized software tools to effectively incorporate and assess molecular data for treatment decisions.
A cooperative, multi-site decision-making process, supported by integrated knowledge bases and collaborative platforms, enhances overall treatment quality.
The developed tools and processes facilitate a virtual, multi-site collaborative decision-making approach, improving cancer care delivery.