DocumentCode :
2456557
Title :
A Framework for Comprehensive Electronic QA in Radiation Therapy
Author :
Kildea, J. ; Evans, M. ; Parker, W.
Author_Institution :
Med. Phys. Dept., McGill Univ. Health Centre, Montreal, QC, Canada
fYear :
2010
fDate :
12-14 Dec. 2010
Firstpage :
985
Lastpage :
988
Abstract :
We describe a framework for comprehensive electronic QA currently under development in the department of Radiation Oncology at the Montreal General Hospital. When complete, the system will incorporate all data generated within the department. It will allow for easy access to all aspects of a patient´s treatment and to the state of all relevant equipment at the time of treatment. Quality control will be achieved through automated Shewhart-type control charting with appropriate statistical analysis. Machine learning methods will be used to examine the data in order to search for errors, inconsistencies and unnecessary treatment delays. The system will entail a web interface internal to the clinic and written in PERL.
Keywords :
Perl; cancer; control charts; dosimetry; learning (artificial intelligence); medical information systems; quality assurance; quality control; radiation therapy; statistical analysis; Montreal general hospital; PERL; automated Shewhart type control charting; comprehensive electronic QA; machine learning; patient treatment; quality control; radiation oncology; statistical analysis; treatment delay; web interface; Biomedical applications of radiation; Control charts; Databases; Delay; Physics; Planning; Process control; Comprehensive electronic QA; Shewhart; control charts; machine learning in radiation oncology QA; treatment delays in radiation oncology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Applications (ICMLA), 2010 Ninth International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4244-9211-4
Type :
conf
DOI :
10.1109/ICMLA.2010.157
Filename :
5708981
Link To Document :
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