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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DĚKUJI ZA POZORNOST