over utilized as well. The third member of the examination hall in the cast technician has a
utilization rate of 90.03% and is also a good utilization rate. The nurses are being utilized at a
rate of 77.05% whereas the clerks are being utilized at a rate of 74.07%.
If we consider the radiology/X-Ray department as a part of the clinic then the labor utilization
for the technicians and the radiologists are 83.44% and 69.79% respectively.
2. How is variability affecting capacity at the clinic? How can variability be controlled?
Most of the data are variable in nature based on their occurrences. Here, we are concerning about
the flow of patients in a pediatric orthopedic clinic. We cannot control the number and type of
patient flow for check up in a clinic. We can only manage and schedule the resources available in
a clinic in efficient manner so that the service could be delivered in optimized way.
Based on collected data, it shows that clinic examines about 80 patients each half of the day, of
which 60 percent returns for follow up appointment. In this case clinic can predict, in advance,
the case and its nature of about 48 patients who register for follow-up every day. According to
the exhibit 3, the bottleneck of all the process seems to be the radiology department where
patients have to wait 58 minutes on an average and also has high standard deviation of 22
patients.
The high waiting time and also a very large standard deviation shows that the variability at this
department is very high. The Radiology Department is used by the Pediatric, Urology and Chest
Clinic and the ER. This leads to varying demands that depend on patient arrivals for each
department which causes variability in the amount of time a patient has to wait to get treated.
The more patients, the more likely the wait time will increase.
One way to control this variability would be to improve scheduling of the clinic with the other
departments. Test can be performed to see when the machines are used the least amount of time
and try to schedule appointments then. Also additional equipment purchases and staff may be
considered to reduce the effect of variability.
Similarly, the nature of the X-Ray needed is also affecting the variability at the clinic.
Depending on the type of X-ray, the machine needs major adjustment. Here, the variable nature
of incoming patients affects the time taken for X-ray due to the adjustment needed to switch
between upper and lower extremities. The variable requirement of patient can, somewhat be
controlled by using each machine to take either upper or lower extremities’ X-Ray. The six
available machines can be dedicated to a certain type of X-Ray based on the previous data. But
the flexibility in the machines should still be retained to address situations where need do not
follow the trends.