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Published in: Journal of Radiation Oncology 2/2019

01-06-2019 | Original Research

Whiteboard patient tracking system improves radiation oncology treatment planning workflow

Authors: Christopher Freese, Neil Forster, Brittany Prater, Meredith Amlung, Michael Lamba, Vinita Takiar

Published in: Journal of Radiation Oncology | Issue 2/2019

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Abstract

Objective

As care delivery becomes ever more complex, and physicians and health care systems face increasing demands, improved efficiency within radiation oncology departments is essential. The workflow required for quality radiation treatment delivery necessitates detailed communication between multiple specialized team members and emerging technologies, sometimes at different locations. In this study, we compare the time required for completion of several components of this process, before and after whiteboard implementation, hypothesizing that whiteboard usage would decrease the time required to complete the designated task, thereby improving workflow.

Methods

We retrospectively reviewed dosimetric workflow data from 578 patients treated between January 2015 and January 2017 (320 pre- and 258 post-whiteboard). The whiteboard system cataloged various patient clinical factors as well as workflow metrics. Departmental workflow was then examined and time from simulation date to contour approval, plan approval, and start date of the prescribed therapy were compared. Statistical analyses were performed using Mann-Whitney tests or paired t tests.

Results

There was a 17% reduction in the time from simulation to contour approval, 3.0 to 2.5 days, respectively (p = 0.007). There was also a 24% reduction in the time from simulation to plan approval, 6.3 to 4.8 days (p < 0.001). On subset analysis by individual disease site, head and neck cancer as well as lung cancer cases showed statistical improvement in the time from simulation to plan approval. Two of the three physicians evaluated demonstrated a statistical improvement in the time from simulation to plan approval. Physician 1 improved from 6.9 to 5.5 days (p = 0.001) and physician 3 from 8.7 to 8.3 days (p = 0.002).

Conclusions

Whiteboard implementation resulted in a significant decrease in time from CT simulation date to contour approval and plan approval. When used effectively, an automated whiteboard system facilitates improved workflow.
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Literature
11.
go back to reference Monden Y (2011) Toyota production system: an integrated approach to just-in-time, 4th edn. CRC Press, Boca Raton, FLCrossRef Monden Y (2011) Toyota production system: an integrated approach to just-in-time, 4th edn. CRC Press, Boca Raton, FLCrossRef
12.
go back to reference Anderson D (2009) Kanban: Successful Evolutionary Change for Your Technology Business. Blue Hole, Sequim, WA Anderson D (2009) Kanban: Successful Evolutionary Change for Your Technology Business. Blue Hole, Sequim, WA
14.
go back to reference McDonald C (2014). Restructuring the flow of radiation oncologist workflow in an out-patient cancer centre. [MSc thesis]. Dublin: Royal College of Surgeons in Ireland McDonald C (2014). Restructuring the flow of radiation oncologist workflow in an out-patient cancer centre. [MSc thesis]. Dublin: Royal College of Surgeons in Ireland
20.
21.
Metadata
Title
Whiteboard patient tracking system improves radiation oncology treatment planning workflow
Authors
Christopher Freese
Neil Forster
Brittany Prater
Meredith Amlung
Michael Lamba
Vinita Takiar
Publication date
01-06-2019
Publisher
Springer Berlin Heidelberg
Published in
Journal of Radiation Oncology / Issue 2/2019
Print ISSN: 1948-7894
Electronic ISSN: 1948-7908
DOI
https://doi.org/10.1007/s13566-019-00385-z

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