A Data Management Model for Proactive Risk Management in Healthcare

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Dmitry Meshkov
Lyudmila Bezmelnitsyna
Sergey Cherkasov


The Delphi investigation made possible to create and present a model of data flows and expertise for decision - making in healthcare. The model structures and visualizes data flows including population health risks assessment and healthcare interventions value. Most elements of this model are used in practice and are regulated by international or local documents. The investigation also indicates the need for the creation and utilization of additional level of expertise including integrated analysis and modeling of the results of management decisions. Structuring of data management in accordance with this model provides an opportunity to implement proactive risk management in healthcare there to increase healthcare effectiveness significantly.


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Meshkov, D., Bezmelnitsyna, L., & Cherkasov, S. (2020). A Data Management Model for Proactive Risk Management in Healthcare. Advances in Systems Science and Applications, 20(1), 114-118. https://doi.org/10.25728/assa.2020.20.1.864