Information management system for automated quality assessment in radiotherapy

Project leader: Björn Eskofier
Project members: Felix Kluge
Start date: 15. August 2016
End date: 14. August 2018
Funding source: Bayerisches Staatsministerium für Wirtschaft und Medien, Energie und Technologie (StMWIVT) (ab 10/2013)

Abstract

The increasing complexity of radiotherapy poses a serious challenge to quality management processes. Proper functioning of devices, precise control of process variables and thus ultimately the safety of the patient regarding exposure to radiation must be ensured. However, The complexity of the radiotherapy workflow lead to seriouos accidents in the past. Up to date, the quality of only partial radiotherapy workflow steps is properly assessed and the workflow as a whole is not assessed.

The goal of this project is to develop an integrated an automatic quality management information system for a proactive error prevention. Based on quality measures, the whole workflow will be monitored. Data Mining, Benchmarking and machine learning tools will be used to detect potential faults in advance.