<div class="csl-bib-body">
<div class="csl-entry">Popper, N., Endel, F., Mayer, R., Bicher, M., & Glock, B. (2017). Planning future health: developing big data and system modelling pipelines for health system research. <i>Simulation Notes Europe</i>, <i>27</i>(4), 203–208. https://doi.org/10.11128/sne.27.tn.10396</div>
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dc.identifier.issn
2305-9974
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/219145
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dc.description.abstract
Using Modelling and Simulation for Planning and Evaluation of Health Systems needs the combination of state of the art modelling and simulation tools, which can be used in a modular way. In addition, big data sets are used to describe the status-quo of health systems. Together possibilities for prediction and strategic planning increase, while challenges for quality assessment and reproducible processes generate the need for new developed structures in research and implementation. The article gives an outline of approaches, developed within the Austrian DEXHELPP project and points out strategies for coping with these challenges.
en
dc.description.sponsorship
FFG - Österr. Forschungsförderungs- gesellschaft mbH
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dc.language.iso
en
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dc.relation.ispartof
Simulation Notes Europe
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dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
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dc.subject
Modeling and Simulation
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dc.subject
Big Data
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dc.subject
Health System Research
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dc.subject
Modelling Cycle
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dc.subject
Modelling Pipeline
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dc.title
Planning future health: developing big data and system modelling pipelines for health system research
