Czech Republic Czech Technical University in Prague Faculty of Biomedical Engineering Ilya V. Ivlev
Mar 31, 2015
Czech RepublicCzech Technical University in PragueFaculty of Biomedical Engineering
Ilya V. Ivlev
Decisive factor: the state of equipment used in hospitals
Problematic issues: the standard service life of the majority of
medical equipment has already expired
Caution: use of this equipment can become
hazardous to both - patients and medical personnel
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Create a mathematical model that contains the main components:
1.the cost of procurement of medical equipment and annual costs of repair;
2.the annual operating costs (mainly including the costs of consumables and power consumption, etc.)
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Possible solution requires certain rules:
First rule: medical device down time (tdow) for
repair and maintenance should not exceed half time of operation (top);
Efficiency coefficient is:
A. M. Aronov, Biomedical Engineering, 20076
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device down time (tdow)
time of operation (top)
efficiency coefficient
(Ceff)
1 253 0,99
… … …
15 239 0,87
… … …
30 224 0,73
… … …
72 182 0,21
Working days per year = 254 (working year)
Second rule:efficiency coefficient Ceff during medical
device normal service life varies:Fig. Ceff variation during medical device service life.
Ceff
Time of use, years
I - varies of Ceff during normal service life of medical device;II - varies of Ceff after double normal service life (if the medical device is still used);III - Ceff after making 300% of the resource. 8
Third rule:Practical value of Ceff over than value
determined by the first rule is criterion of final medical device impracticability -
THE MEDICAL DEVICE SHOULD BE REPLACED.
Time of use, years
Ceff
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The expectancy economic life of medical equipment:
Chen Kang, Chinese J. of Medical Instrumentation, 2009
P0 - initial price of medical equipment;W - increase in operating costs each year.
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CT scanner: General Electric (HiSpeed CT/e Plus):
• initial price (P0) ≈ $190K;• increase in operating costs each year (W) ≈ $15K
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1. there are different approaches to determining the optimal duration of life (physical, economic) of medical equipment;
2. application of mathematical models helps more carefully and dispassionately manage of equipment;
3. no models that take into account most of the influencing factors and the specifics of medical equipment;
4. do not resolved the question of what is amortization.
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