↓ Skip to main content

Visualization of data in radiotherapy using web services for optimization of workflow

Overview of attention for article published in Radiation Oncology, January 2015
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
34 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Visualization of data in radiotherapy using web services for optimization of workflow
Published in
Radiation Oncology, January 2015
DOI 10.1186/s13014-014-0322-3
Pubmed ID
Authors

Stefan Kirrmann, Mark Gainey, Fred Röhner, Markus Hall, Gregor Bruggmoser, Marianne Schmucker, Felix E Heinemann

Abstract

BackgroundEvery day a large amount of data is produced within a radiotherapy department. Although this data is available in one form or other within the centralised systems, it is often not in the form which is of interest to the departmental staff. This work presents a flexible browser based reporting and visualization system for clinical and scientific use, not currently found in commercially available software such as MOSAIQ or ARIA. Moreover, the majority of user merely wish to retrieve data and not record and/or modify data. Thus the idea was conceived, to present the user with all relevant information in a simple and effective manner in the form of web-services. Due to the widespread availability of the internet, most people can master the use of a web-browser. Ultimately the aim is to optimize clinical procedures, enhance transparency and improve revenue.MethodsOur working group (BAS) examined many internal procedures, to find out whether relevant information suitable for our purposes lay therein. After the results were collated, it was necessary to select an effective software platform. After a more detailed analysis of all data, it became clear that the implementation of web-services was appropriate. In our institute several such web-based information services had already been developed over the last few years, with which we gained invaluable experience. Moreover, we strived for high acceptance amongst staff members.ResultsBy employing web-services, we attained high effectiveness, transparency and efficient information processing for the user. Furthermore, we achieved an almost maintenance-free and low support system. The aim of the project, making web-based information available to the user from the departmental system MOSAIQTM, physician letter system MEDATECR and the central finding server MiraPlus (laboratory, pathology and radiology) were implemented without restrictions.ConclusionDue to widespread use of web-based technology the training effort was effectively nil, since practically every member of staff can master the use of a web-browser. Moreover, we have achieved high acceptance amongst staff members and have improved our effectiveness resulting in a considerable time saving.The many MOSAIQ-specific parts of the system can be readily used by departments which use MOSAIQ as the departmental system.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 33 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 29%
Researcher 8 24%
Student > Bachelor 4 12%
Professor 2 6%
Lecturer 1 3%
Other 5 15%
Unknown 4 12%
Readers by discipline Count As %
Physics and Astronomy 9 26%
Computer Science 7 21%
Medicine and Dentistry 3 9%
Business, Management and Accounting 2 6%
Engineering 2 6%
Other 5 15%
Unknown 6 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 January 2015.
All research outputs
#18,389,490
of 22,778,347 outputs
Outputs from Radiation Oncology
#1,410
of 2,052 outputs
Outputs of similar age
#256,126
of 352,028 outputs
Outputs of similar age from Radiation Oncology
#66
of 82 outputs
Altmetric has tracked 22,778,347 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,052 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 352,028 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.