Human factors evaluation of remote afterloading brachytherapy. Volume 2, Function and task analysis

Callan, James R.; Gwynne, J.W.; Kelly, Tom; Muckler, Frederick A.; Saunders, William; Lepage, Richard; Chin, E; Schoenfeld, I.; Serig, Dennis I.

doi:10.2172/97039

Cited by 5 publications

(4 citation statements)

References 2 publications

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“…Dosimetrists consider source strength, dwell times, isodose lines, and dose distributions. This task is very mathematical in nature, but also relies on interaction with treatment planning software (Callan et al, 1995b). Some contributing factors that could lead to errors in dosimetry include manually entering targets (the location of the structure to be radiated, usually as a three-dimensional coordinate) and dwell times (how long a target is exposed to the source) into the treatment planning system, lack of feedback regarding the accuracy of the treatment plan's digitization, poor interface design, time pressure, and distractions.…”

Section: Errors By Taskmentioning

confidence: 99%

“…Treatment plan entry involves inputting the treatment plan into the afterloader control console. This can be done by using a memory card, entering the information via keyboard, opening a plan saved on the console's hard drive, or directly transferring the plan from the planning computer to the control console (Callan et al, 1995b). Contributing factors to errors in treatment plan entry include the need to manually input data into the treatment console, calculations done by the computer that were invisible to the user, and differences between initial treatment directive and final treatment parameters make it difficult to identify errors.…”

Section: Errors By Taskmentioning

confidence: 99%

“…Treatment set-up includes all the tasks that prepare a room for treatment delivery. During this task, quality assurance procedures are conducted, appropriate applicators are attached to the source guide tubes, and stepping distance is checked (the source's position in the patient is controlled by "steps" of fixed length, such as 10 cm) (Callan et al, 1995b). The small size and low contrast of applicator labels, along with difficulty in assessing if applicators are correctly connected are both reasons for errors in this task.…”

Section: Errors By Taskmentioning

confidence: 99%

“…Treatment session monitoring involves monitoring both the patient and hardware during a treatment delivery. If the hardware acts in a way that is not prescribed by the treatment plan, the operator should adjust or abort the treatment delivery session (Callan et al, 1995b). Some treatment sessions are long, lasting a couple days, so this task is primarily a vigilance task.…”

Section: Errors By Taskmentioning

confidence: 99%

See 3 more Smart Citations

Using Incident Reports to Identify Vulnerabilities: A Case Study in Radiation Therapy

Lopez

Militello

Brown

et al. 2012

Proceedings of the Human Factors and Ergonomics Society Annual

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Regulatory Commission 4As mandatory reporting of health care incidents becomes more prevalent, the need for effective strategies for analyzing historical reports to identify vulnerabilities is increasingly important. For this project, the research team reviewed existing event narratives collected by the U.S. Nuclear Regulatory Commission (NRC) that described errors with the use of nuclear byproducts in four medical treatment modalities: gamma knife stereotactic radiosurgery, high dose rate brachytherapy, low dose rate brachytherapy, and interstitial brachytherapy. This analysis had three levels: identification of possible system vulnerabilities based on historical data, analysis of event data for trends over time and for each treatment modality, and comparison of the suggested corrective actions with the implemented corrective actions for each event. The research team identified types of errors that were more prevalent with each treatment modality, along with discrepancies between suggested corrective actions and the implemented corrective actions. This project is a case study illustrating strategies for extracting valuable information from incident-reporting databases.

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Section: Errors By Taskmentioning

confidence: 99%

Section: Errors By Taskmentioning

confidence: 99%

Section: Errors By Taskmentioning

confidence: 99%

Section: Errors By Taskmentioning

confidence: 99%

See 2 more Smart Citations

Using Incident Reports to Identify Vulnerabilities: A Case Study in Radiation Therapy

Lopez

Militello

Brown

et al. 2012

Proceedings of the Human Factors and Ergonomics Society Annual

View full text Add to dashboard Cite

show abstract

Automated high-dose rate brachytherapy treatment planning for a single-channel vaginal cylinder applicator

et al. 2017

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High dose rate (HDR) brachytherapy treatment planning is conventionally performed manually and/or with aids of preplanned templates. In general, the standard of care would be elevated by conducting an automated process to improve treatment planning efficiency, eliminate human error, and reduce plan quality variations. Thus, our group is developing AutoBrachy, an automated HDR brachytherapy planning suite of modules used to augment a clinical treatment planning system. This paper describes our proof-of-concept module for vaginal cylinder HDR planning that has been fully developed. After a patient CT scan is acquired, the cylinder applicator is automatically segmented using image-processing techniques. The target CTV is generated based on physician-specified treatment depth and length. Locations of the dose calculation point, apex point and vaginal surface point, as well as the central applicator channel coordinates, and the corresponding dwell positions are determined according to their geometric relationship with the applicator and written to a structure file. Dwell times are computed through iterative quadratic optimization techniques. The planning information is then transferred to the treatment planning system through a DICOM-RT interface. The entire process was tested for nine patients. The AutoBrachy cylindrical applicator module was able to generate treatment plans for these cases with clinical grade quality. Computation times varied between 1 and 3 min on an Intel Xeon CPU E3-1226 v3 processor. All geometric components in the automated treatment plans were generated accurately. The applicator channel tip positions agreed with the manually identified positions with submillimeter deviations and the channel orientations between the plans agreed within less than 1 degree. The automatically generated plans obtained clinically acceptable quality.

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Role of human factors / usability engineering in medical device design

Hegde

2013

2013 Proceedings Annual Reliability and Maintainability Symposium (RAMS)

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Human factors evaluation of remote afterloading brachytherapy. Volume 2, Function and task analysis

Cited by 5 publications

References 2 publications

Using Incident Reports to Identify Vulnerabilities: A Case Study in Radiation Therapy

Using Incident Reports to Identify Vulnerabilities: A Case Study in Radiation Therapy

Automated high-dose rate brachytherapy treatment planning for a single-channel vaginal cylinder applicator

Role of human factors / usability engineering in medical device design

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