Literature DB >> 25407872

Software tool for physics chart checks.

H Harold Li1, Yu Wu2, Deshan Yang2, Sasa Mutic2.   

Abstract

PURPOSE: Physics chart check has long been a central quality assurance (QC) measure in radiation oncology. The purpose of this work is to describe a software tool that aims to accomplish simplification, standardization, automation, and forced functions in the process. METHODS AND MATERIALS: Nationally recognized guidelines, including American College of Radiology and American Society for Radiation Oncology guidelines and technical standards, and the American Association of Physicists in Medicine Task Group reports were identified, studied, and summarized. Meanwhile, the reported events related to physics chart check service were analyzed using an event reporting and learning system. A number of shortfalls in the chart check process were identified. To address these problems, a software tool was designed and developed under Microsoft. Net in C# to hardwire as many components as possible at each stage of the process.
RESULTS: The software consists of the following 4 independent modules: (1) chart check management; (2) pretreatment and during treatment chart check assistant; (3) posttreatment chart check assistant; and (4) quarterly peer-review management. The users were a large group of physicists in the author's radiation oncology clinic. During over 1 year of use the tool has proven very helpful in chart checking management, communication, documentation, and maintaining consistency.
CONCLUSIONS: The software tool presented in this work aims to assist physicists at each stage of the physics chart check process. The software tool is potentially useful for any radiation oncology clinics that are either in the process of pursuing or maintaining the American College of Radiology accreditation.

Mesh:

Year:  2014        PMID: 25407872     DOI: 10.1016/j.prro.2014.03.001

Source DB:  PubMed          Journal:  Pract Radiat Oncol        ISSN: 1879-8500


  5 in total

1.  SafetyNet: Streamlining and Automating QA in radiotherapy.

Authors:  Scott W Hadley; Marc L Kessler; Dale W Litzenberg; Choonik Lee; Jim Irrer; Xiaoping Chen; Eduardo Acosta; Grant Weyburne; Wayne Keranen; Kwok Lam; Elizabeth Covington; Kelly C Younge; Martha M Matuszak; Jean M Moran
Journal:  J Appl Clin Med Phys       Date:  2016-01-08       Impact factor: 2.102

2.  Improving treatment plan evaluation with automation.

Authors:  Elizabeth L Covington; Xiaoping Chen; Kelly C Younge; Choonik Lee; Martha M Matuszak; Marc L Kessler; Wayne Keranen; Eduardo Acosta; Ashley M Dougherty; Stephanie E Filpansick; Jean M Moran
Journal:  J Appl Clin Med Phys       Date:  2016-11-08       Impact factor: 2.102

3.  Early detection of potential errors during patient treatment planning.

Authors:  Danielle Lack; Jian Liang; Lisa Benedetti; Cory Knill; Di Yan
Journal:  J Appl Clin Med Phys       Date:  2018-07-05       Impact factor: 2.102

4.  Optimizing efficiency and safety in external beam radiotherapy using automated plan check (APC) tool and six sigma methodology.

Authors:  Shi Liu; Karl K Bush; Julian Bertini; Yabo Fu; Jonathan M Lewis; Daniel J Pham; Yong Yang; Thomas R Niedermayr; Lawrie Skinner; Lei Xing; Beth M Beadle; Annie Hsu; Nataliya Kovalchuk
Journal:  J Appl Clin Med Phys       Date:  2019-08       Impact factor: 2.102

5.  Combining automatic plan integrity check (APIC) with standard plan document and checklist method to reduce errors in treatment planning.

Authors:  Ping Xia; Danielle LaHurd; Peng Qi; Anthony Mastroianni; Daesung Lee; Anthony Magnelli; Eric Murray; Matt Kolar; Bingqi Guo; Tim Meier; Samual T Chao; John H Suh; Naichang Yu
Journal:  J Appl Clin Med Phys       Date:  2020-07-17       Impact factor: 2.102

  5 in total

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