  Providing uninterrupted response service is of paramount importance for
emergency medical services, regardless of the operating scenario. Thus,
reliable estimates of the time to the critical condition, under which there
will be no available servers to respond the next incoming call, become very
useful measures of the system's performance. In this contribution, we develop a
key performance indicator by providing an explicit formula for the average time
to the shortage condition. Our analytical expression for this average time is a
function of the number of parallel servers and the inter-arrival and service
times. We assume exponential distributions of times in our analytical
expression but for evaluating the mean first-passage time to the critical
condition under more realistic scenarios we validate our result through
exhaustive simulations with lognormal service time distributions. For this task
we have implemented an simulator in $R$. Our results indicate that our
analytical formula is an acceptable approximation under any situation of
practical interest.
