| Information management system for automated quality assessment in radiotherapy 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 serious
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. | Project manager:
Prof. Dr. Björn Eskofier
Project participants:
Dr.-Ing. Felix Kluge
Keywords:
Radiotherapy, Data Mining, Quality assessment
Duration: 15.8.2016 - 14.8.2018
Sponsored by:
Programm "Informations- und Kommunikationstechnik", Bayerisches Staatsministerium für Wirtschaft und Medien, Energie und Technologie
Contact:
Kluge, Felix
Phone +49 9131 85 27921, E-Mail: felix.kluge@fau.de
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