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1.
Nihon Hoshasen Gijutsu Gakkai Zasshi ; 75(11): 1286-1296, 2019.
Article in Japanese | MEDLINE | ID: mdl-31748454

ABSTRACT

The work of radiological technologists is changing and more complicated because of the development of medical technology and implementation of information technology (IT). Although the cases of incident and accident have been reported, they have not been comprehensively analyzed in the workflow for radiotherapy. In this study, we visualized the workflow of radiological technologists in radiotherapy and revealed the causes of incidents and accidents. The work process was visualized by drawing workflow map. The structuring of problem was performed with interpretive structural modeling (ISM) method based on graph theory by analyzing of work categorized by safety management. Our results may be able to clarify the work of radiological technologists leads to the reduction of incidents and accidents in radiation therapy.


Subject(s)
Databases, Factual , Workflow , Accidents , Safety Management
2.
Radiat Prot Dosimetry ; 181(2): 156-167, 2018 Oct 01.
Article in English | MEDLINE | ID: mdl-29425381

ABSTRACT

The present work describes that we try to construct a system that collects dose information that performed CT examination from multiple facilities and unified management. The results of analysis are compared with other National diagnostic reference level (DRL), and the results are fed back to each facility and the cause of the abnormal value is investigated for dose optimization. Medical information collected 139 144 tests from 33 CT devices in 13 facilities. Although the DRL of this study is lower than that of Japan DRL, it was higher than the DRL of each country. When collecting all the examination, it is thought that the variation of the dose due to the error other than the intended imaging site is large. In future, we should continue to collect information in order to DRL renewal and we also think that it is desirable to collect information on physique and detailed scan region as well.


Subject(s)
Data Mining , Image Processing, Computer-Assisted/methods , Radiation Dosage , Radiation Exposure/standards , Radiation Monitoring/standards , Tomography, X-Ray Computed/statistics & numerical data , Tomography, X-Ray Computed/standards , Adolescent , Adult , Aged , Aged, 80 and over , Child , Child, Preschool , Female , Humans , Infant , Infant, Newborn , Male , Middle Aged , Radiation Exposure/statistics & numerical data , Radiation Monitoring/statistics & numerical data , Reference Values , Retrospective Studies , Young Adult
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