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Measuring and improving radiotherapy delivery efficiency

Published online by Cambridge University Press:  04 April 2022

Amy Cooke*
Affiliation:
University Hospital Southampton NHS Foundation Trust, Southampton, UK
Catherine Holborn
Affiliation:
Sheffield Hallam University, Sheffield, UK
*
Author for correspondence: Amy Cooke, Radiotherapy, University Hospital Southampton NHS Foundation Trust, Tremona Road, Southampton, Hampshire SO16 6YD, UK E-mail: amy.shaw@uhs.nhs.uk
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Abstract

Introduction:

The researcher’s centre was in a unique position of merging with another established radiotherapy centre to create a Satellite Site. It was noted that the Satellite Site delivered more fractions per linac within the same working day profile as the Main Site. Subtle differences in the workflows allowed for an appraisal of the processes within a fraction of radiotherapy and how this can be refined to improve efficiency.

Methods:

Retrospective fraction timings were collected using the Oncology Information System for 98 breast and prostate treatments at both sites. A literature review was also conducted to further explore factors that impact fraction timings in other departments internationally.

Results:

Breast and prostate treatments took 2·1 and 2·93 minutes, respectively, longer to deliver at the Main Site. Set-up to the isocentre and verification image assessment took significantly longer in all cases at the Main Site. Literature surrounding efficiency is scarce but suggests methods used for online management of verification imaging significantly impacts appointment times.

Conclusion:

Implementation of a paperless workflow and process improvements for image assessment such as introducing a traffic light protocol may reduce the time to deliver a fraction of radiotherapy and maximise service efficiency.

Information

Type
Original Article
Copyright
© The Author(s), 2022. Published by Cambridge University Press
Figure 0

Table 1. Key time points in OIS for set-up, imaging and treatment

Figure 1

Figure 1. PRISMA flow diagram.

Figure 2

Table 2. Number and treatment site of patients included in study

Figure 3

Table 3. Total treatment times

Figure 4

Figure 2. Box plot of total treatment times.

Figure 5

Table 4. Average time for workflow points

Figure 6

Figure 3. Stacked bar chart to show proportions of workflow.

Figure 7

Table 5. Summary of key findings of literature review*