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. Simulation Notes Europe, 27(4), 203–208. https://doi.org/10.11128/sne.27.tn.10396
E194-04 - Forschungsbereich Data Science E105-06 - Forschungsbereich Computational Statistics
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Zeitschrift:
Simulation Notes Europe
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ISSN:
2305-9974
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Datum (veröffentlicht):
Dez-2017
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Umfang:
6
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Peer Reviewed:
Ja
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Keywords:
Modeling and Simulation; Big Data; Health System Research; Modelling Cycle; Modelling Pipeline
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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.
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Projekttitel:
Entscheidungsunterstützung in der Gesundheitspolititk und - planung: Methoden, Modelle und Technologien anhand von vorhandenen Gesundheitsdaten: Projekt 843550 (FFG - Österr. Forschungsförderungs- gesellschaft mbH)
CC BY 4.0
