A Data Management Model for Proactive Risk Management in Healthcare

Authors

  • Dmitry Meshkov V. A. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences
  • Lyudmila Bezmelnitsyna V. A. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences
  • Sergey Cherkasov V. A. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences

DOI:

https://doi.org/10.25728/assa.2020.20.1.864

Keywords:

model, proactive, healthcare, management, data, health technology assessment, guidelines, clinical

Abstract

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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Published

2020-03-31

How to Cite

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