Page 137 - Azerbaijan State University of Economics
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THE JOURNAL OF ECONOMIC SCIENCES: THEORY AND PRACTICE, V.71, # 1, 2014, pp. 127-139
overall saving of 323,53 US$ per patient per year over all entities. The real cost saving without a
QALY saving effect would be at a 111,33 US$ per year. Taking into account, that no cost for the
telemedical measures were calculated and the service would include a 2-3 week phone call and a
telemedical care system worth a monthly fee of 15 US$ production cost, it turns out, that the
technology may not be able to save “real” cost in the system. A positive return would only be
generated over the additional QALY effect. Overall the technology could produce a QALY
effect of 8889 QALYs per year in the AR.
With the tool and methodology itself a custom-tailored health economic feasibility study
e.g. in terms of a specific population mix of the investigation and/or targeted outcome parameters
(e.g. saved cost at Provider, saved transportation cost, etc.) was produced. Additionally the
possibility of the implementation of a reinsurance model allows selective “risk adjustment” or a
nearly complete “buy out” of the risk of the new technology over an external reinsurance
provider. The designed reinsurance model is based exactly on the simulation model described in
this work and calculates the premium on an individually selectable risk algorithm basing on the
calculated underlying risks.
The whole simulation can only give a very rough overview on the potential savings and
effects of the technology – a big problem to get precise effects from the simulation is the fact of
the missing data: As there was only some cost data available and some epidemiology data was
completely missing for the specific distribution of CHF, the value simulated must been seen as a
“rough range” value. Positively speaking the tool and methodology can be used and integrated in
the development cycle of a new AR care program – as soon there is more evidence available, the
tool can simulate more precise results. New scientific evidence and market-related needs can be
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