Maintaining Quality Control Using a Radiological Digital X-ray Dashboard

Minnigh, Todd R.; Gallet, Jacqueline M

doi:10.1007/s10278-007-9098-4

Cited by 31 publications

(28 citation statements)

References 11 publications

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“…To address these issues, clinical sites have been implementing QA programs such as enterprise-wide, reject-tracking, and analysis tools. These programs are intended to drive reject/repeat rates down while simultaneously maintaining, or even improving, overall image quality [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Investigation of the Variability in the Assessment of Digital Chest X-ray Image Quality

et al. 2012

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A large database of digital chest radiographs was developed over a 14-month period. Ten radiographic technologists and five radiologists independently evaluated a stratified subset of images from the database for quality deficiencies and decided whether each image should be rejected. The evaluation results showed that the radiographic technologists and radiologists agreed only moderately in their assessments. When compared against each other, radiologist and technologist reader groups were found to have even less agreement than the inter-reader agreement within each group. Radiologists were found to be more accepting of limitedquality studies than technologists. Evidence from the study suggests that the technologists weighted their reject decisions more heavily on objective technical attributes, while the radiologists weighted their decisions more heavily on diagnostic interpretability relative to the image indication. A suite of reject-detection algorithms was independently run on the images in the database. The algorithms detected 4 % of postero-anterior chest exams that were accepted by the technologist who originally captured the image but which would have been rejected by the technologist peer group. When algorithm results were made available to the technologists during the study, there was no improvement in inter-reader agreement in deciding whether to reject an image. The algorithm results do, however, provide new quality information that could be captured within a site-wide, reject-tracking database and leveraged as part of a site-wide QA program.

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Section: Introductionmentioning

confidence: 99%

Investigation of the Variability in the Assessment of Digital Chest X-ray Image Quality

et al. 2012

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“…There are tools built into most modern imaging acquisition or transmission machines that collect valuable quality metrics (e.g., exposure data, repeat examinations, fluoroscopy time, and sonographic, thermal, and mechanical indexes), yet informatics tools to aggregate, analyze, and present these data are sparse [46]. Furthermore, one of the most important quality-control measures, feedback from the interpreting radiologists, is increasingly limited in the new digital environment.…”

Section: Future Of Radiology Information Systemsmentioning

confidence: 99%

The Future of the Radiology Information System

Nance

Meenan

Nagy

2013

American Journal of Roentgenology

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“…Some dashboards are designed to monitor performance indicators such as examination volume in radiology departments for quality control. In paper [3], the researchers designed and developed a dashboard to monitor the indicators of repeats from CR examination in radiology department. This study discovered some useful information, for example, that 80% of the exams were performed by only 21% of the technologists [3].…”

Section: Introductionmentioning

confidence: 99%

“…In paper [3], the researchers designed and developed a dashboard to monitor the indicators of repeats from CR examination in radiology department. This study discovered some useful information, for example, that 80% of the exams were performed by only 21% of the technologists [3]. Some dashboards display relevant, real-time information in order to improve communication.…”

Section: Introductionmentioning

confidence: 99%

Radiology workflow-based monitoring dashboard in a heterogeneous environment

Zhu

Nie

Lü

et al. 2010

2010 3rd International Conference on Biomedical Engineering and Informatics

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Radiology departments could benefit from the digital dashboards which integrate and visualize information reflecting workflow state. However, the heterogeneous environment in radiology prevents an integrated overall view of the process. The objective of this study is to design and develop a workflow-based dashboard in a heterogeneous environment to help the radiology administrators and managers monitor the state of the work flow in real time. Firstly, we propose to use workflow management method to implement the system integration. Then a real-time monitoring dashboard which analyzed data from workflow management system integrated with information in other radiology systems is designed and developed. A use case implementation is carried out in Huzhou Central hospital of China. The dashboard is well accepted by the radiology administrators and managers in the hospital who lack real-time workflow monitoring tools in a heterogeneous environment. This work presents a new perspective on radiology department management, and can be viewed as an initial endeavor for introducing workflow management technology in healthcare.

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Maintaining Quality Control Using a Radiological Digital X-ray Dashboard

Cited by 31 publications

References 11 publications

Investigation of the Variability in the Assessment of Digital Chest X-ray Image Quality

Investigation of the Variability in the Assessment of Digital Chest X-ray Image Quality

The Future of the Radiology Information System

Radiology workflow-based monitoring dashboard in a heterogeneous environment

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