Workflow Analysis for Interventional Neuroradiology using Frequent Pattern Mining
نویسندگان
چکیده
Modern interventional imaging systems provide a wide range of functionalities and tools in order to perform complex radiological interventions. The aim of this work is to analyze and evaluate the workflow of such interventions with a focus on human-computer interaction. In our study, 25 neuroradiological CT interventions using the Siemens Artis Q imaging system were recorded on video. Based on the videos, the interaction between neuroradiologists, medical technicians and the interventional imaging system was analyzed. A frequent pattern analysis revealed that users concentrate on functionalities that are easy to reach and to understand. In addition, we observed several usability problems that were systematically collected, analyzed, and visualized using graphs and storyboards. The results of our study serve as a basis for further usability studies and workflow analyses, as well as for the design and development of future human-computer interfaces in interventional radiology.
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