Body scans and Bottleneck case Essay

Custom Student Mr. Teacher ENG 1001-04 4 May 2016

Body scans and Bottleneck case

a. How long does it take for a patient to go through the process? 19.5 mins
b. What is the labor content for the nurse and technologist? For nurse is 16 mins, as for technician is 6.5 mins
c. What resource is the bottleneck?
Nurse’s ten minutes process after the CT scan
d. What is the capacity of the process?
One patient for 19.5 mins, 3.08 patient per hour.
e. What is net margin per hour?
$1,301/ hour ((3.08*500)-(35+50+50*3.08)=1,301)

3. What changes might you make in the configuration of CT scan rooms and waiting area to improve some of the task times?
• After the patient located, ask he or she to change their to patient’s surgery scrubs, so nurse doesn’t really need to changing linens and clean room; also improve CT scan’s quality.

• Clear signs on waiting room and CT scan room may guide patients naturally. • Attach a contrast auto-refill machine to the CT scan machine, so the refill step may be eliminated.
• Instead of returning patient, direct and say wish you all the best to the patient. 4. How might specialization be used to reduce the burden on the bottleneck, and hence improve throughput?

• On the old scanner, I think its bottleneck is CT scan step. Machine takes 17 minutes to complete the scan. Therefore, machine’s improvement will be helpful

• Since the old scanner needs more time on scan process, I think it’s possible that the nurse can use this 17 minutes to locate, move and put IV on next patient in order to increase the whole procedure and to decrease waiting time.

• As question 3, attach a contrast auto-refill machine to the CT scan machine, so the refill step may be eliminated.
• Instead of returning patient, direct and say wish you all the best to the patient. • Add some hospital volunteers on patients moving and returning may allow nurse to help next patient.3

Free Body scans and Bottleneck case Essay Sample

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  • University/College: University of California

  • Type of paper: Thesis/Dissertation Chapter

  • Date: 4 May 2016

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