A System Dynamics Model of Data-Driven Precision Medicine Ecosystem

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    Abstract

    Biobanking and secondary use of healthcare data enable considerable improvement to healthcare through personalized medicine including innovative therapies, pharmaceuticals, medical technology, and healthcare processes tailored for the needs of individuals. The data-driven precision medicine ecosystem requires contributions from a large variety of stakeholders as well as public investments to boost ecosystem growth. This paper introduces a system dynamics model describing mechanisms for biobank data and biosample accumulation and the related impact to pharmaceutical R&D projects. The preliminary simulation results reflect the important role of public funding of the infrastructure needed for biobank and register data exploitation as well as setting up services to attract more donors. Large public-private precision medicine projects, such as the FinnGen project are in a key role. Further work is needed to improve the ecosystem model precision especially in taking into account the differences between pharmaceutical R&D projects and their data exploitation needs.
    Original languageEnglish
    Number of pages18
    Publication statusPublished - Jul 2020
    MoE publication typeNot Eligible
    Event2020 International Conference of the System Dynamics Society, SDS 20 - Virtually, Bergen, Norway
    Duration: 19 Jul 202024 Jul 2020

    Conference

    Conference2020 International Conference of the System Dynamics Society, SDS 20
    Country/TerritoryNorway
    CityBergen
    Period19/07/2024/07/20

    Keywords

    • system dynamics
    • healthcare
    • biobank

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