Planning and Management of Health Care Systems by Simulation

Session

Computer Science and Communication Engineering

Description

The reduction of risks bound to a possible disaster, to which a specific territorial unit could be involved, is a component strictly connected to the concept of sustainable development on its fundamental environmental, economic, political and social facets. Moreover, the evaluation of such reduction, depends not only from accumulated resilience, but in particular from realized campaigns for a bigger involvement of the people on the matter and from politics addressed to absorb eventual criticalities, both at infrastructural and human components. From that it is deriving that the capacity to absorb a risk is conceived as iper-complex system, whose management can be realized by mathematical models able to insert a set of criteria, most of times conflicting each other and on which stakeholders are waiting for patchy expectations. Such models, properly of Multi Criteria Decision Aid, able to conciliate qualitative and quantitative points of view by a participated process, can introduce in resilience a concept of measuring “if and how much my town is resilient”. That means, on willing to underline major or minor criticalities in a three-dimensional space, to consider the best harmonic combination of the named facets and to provide a ranking among cities in comparison (γ problematic).

Keywords:

Modelling and Simulation, health care system, big / complex data

Session Chair

Patrik Elm

Session Co-Chair

Paivi Jokela

Proceedings Editor

Edmond Hajrizi

ISBN

978-9951-437-69-1

Location

Pristina, Kosovo

Start Date

27-10-2018 9:00 AM

End Date

27-10-2018 10:30 AM

DOI

10.33107/ubt-ic.2018.104

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Oct 27th, 9:00 AM Oct 27th, 10:30 AM

Planning and Management of Health Care Systems by Simulation

Pristina, Kosovo

The reduction of risks bound to a possible disaster, to which a specific territorial unit could be involved, is a component strictly connected to the concept of sustainable development on its fundamental environmental, economic, political and social facets. Moreover, the evaluation of such reduction, depends not only from accumulated resilience, but in particular from realized campaigns for a bigger involvement of the people on the matter and from politics addressed to absorb eventual criticalities, both at infrastructural and human components. From that it is deriving that the capacity to absorb a risk is conceived as iper-complex system, whose management can be realized by mathematical models able to insert a set of criteria, most of times conflicting each other and on which stakeholders are waiting for patchy expectations. Such models, properly of Multi Criteria Decision Aid, able to conciliate qualitative and quantitative points of view by a participated process, can introduce in resilience a concept of measuring “if and how much my town is resilient”. That means, on willing to underline major or minor criticalities in a three-dimensional space, to consider the best harmonic combination of the named facets and to provide a ranking among cities in comparison (γ problematic).