Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, USA.
Department of Radiology, University of Wisconsin-Madison, Madison, WI, USA.
J Digit Imaging. 2018 Apr;31(2):201-209. doi: 10.1007/s10278-018-0055-1.
Many facets of an image acquisition workflow leave a digital footprint, making workflow analysis amenable to an informatics-based solution. This paper describes a detailed framework for analyzing workflow and uses acute stroke response timeliness in CT as a practical demonstration. We review methods for accessing the digital footprints resulting from common technologist/device interactions. This overview lays a foundation for obtaining data for workflow analysis. We demonstrate the method by analyzing CT imaging efficiency in the setting of acute stroke. We successfully used digital footprints of CT technologists to analyze their workflow. We presented an overview of other digital footprints including but not limited to contrast administration, patient positioning, billing, reformat creation, and scheduling. A framework for analyzing image acquisition workflow was presented. This framework is transferable to any modality, as the key steps of image acquisition, image reconstruction, image post processing, and image transfer to PACS are common to any imaging modality in diagnostic radiology.
图像采集工作流程的许多方面都会留下数字足迹,这使得工作流程分析适合基于信息学的解决方案。本文描述了一个用于分析工作流程的详细框架,并以 CT 中急性脑卒中响应时间为例进行了实际演示。我们回顾了访问常见技术人员/设备交互产生的数字足迹的方法。这一概述为获取工作流程分析数据奠定了基础。我们通过分析急性脑卒中 CT 成像效率来演示该方法。我们成功地使用了 CT 技术员的数字足迹来分析他们的工作流程。我们还介绍了其他数字足迹,包括但不限于造影剂给药、患者定位、计费、格式重建和调度。提出了一种用于分析图像采集工作流程的框架。该框架可适用于任何模式,因为在诊断放射学中,任何成像模式的图像采集、图像重建、图像后处理以及图像传输到 PACS 的关键步骤都是通用的。