Predictive Health Technology and Policy Assessment of Socioeconomic Impacts

Jukka Ranta (Corresponding author), Tero Jokinen, Peter Ylén

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Abstract

    Impact evaluation of new policies, practices, and technologies is imperative for the effective and efficient provision of high quality health care. Traditionally the approaches for health technology assessment have focused on data collected from controlled trials. This has given the approach scientific rigor and precision. On the other hand, impacts to health and health care systems have far-reaching ripple effects in the society. Many of such impacts are not directly measurable in practice. They can be physically unmeasurable, too costly to measure, or the time delays from cause to effect are too long for practical purposes. This can leave loosely related data and expert opinion as the only sources from which to assess the impacts. In particular, for a future oriented assessment to inform a decision prior to a costly trial, a predictive approach not dependent on data collected in a trial is needed. Also, there can be significant indirect impacts from reactions to the primary impacts. To inform the decision makers, a systemic approach will provide a coherent holistic perspective encompassing both short and long-term impacts. We propose an approach using system dynamics to present such systemic structures and forecast their behavior by simulation. System dynamics is a proven technique to model complex systems to improve understanding of their behavior and evaluate intervention and policy alternatives. As a case example, we present a model considering traumatic brain injury and its socioeconomic costs. The model contains several feedback loops from which outcomes and secondary effects have amplified impacts.
    Original languageEnglish
    Title of host publicationEMBEC and NBC 2017 - Joint Conference of the European Medical and Biological Engineering Conference EMBEC 2017 and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics, NBC 2017
    EditorsHannu Eskola, Outi Vaisanen, Jari Viik, Jari Hyttinen
    PublisherSpringer
    Pages1081-1084
    Number of pages4
    Volume65
    ISBN (Electronic)978-981-10-5122-7
    ISBN (Print)978-981-10-5121-0
    DOIs
    Publication statusPublished - 1 Jan 2017
    MoE publication typeA4 Article in a conference publication
    EventJoint Conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC): EMBEC & NBC 2017 - Tampere, Finland
    Duration: 11 Jun 201715 Jun 2017

    Publication series

    SeriesIFMBE Proceedings
    Volume65
    ISSN1680-0737

    Conference

    ConferenceJoint Conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC)
    CountryFinland
    CityTampere
    Period11/06/1715/06/17

    Keywords

    • health policy
    • health technology assessment
    • predictive assessment
    • simulation
    • system dynamics

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  • Cite this

    Ranta, J., Jokinen, T., & Ylén, P. (2017). Predictive Health Technology and Policy Assessment of Socioeconomic Impacts. In H. Eskola, O. Vaisanen, J. Viik, & J. Hyttinen (Eds.), EMBEC and NBC 2017 - Joint Conference of the European Medical and Biological Engineering Conference EMBEC 2017 and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics, NBC 2017 (Vol. 65, pp. 1081-1084). Springer. IFMBE Proceedings, Vol.. 65 https://doi.org/10.1007/978-981-10-5122-7_270