Implementation of Level-3 Autonomous Patient-Specific Quality Assurance with Automated Human Interactive Devices  

作　　者：Jingqiao Zhang Yizhou Zhao Jameson T. Baker Yijian Cao Jenghwa Chang Jingqiao Zhang;Yizhou Zhao;Jameson T. Baker;Yijian Cao;Jenghwa Chang(Northwell, New Hyde Park, NY, USA;Department of Radiation Medicine, Zucker School of Medicine at Hofstra/Northwell, Lake Success, NY, USA;Department of Physics and Astronomy, Hofstra University, Hempstead, NY, USA)

机构地区：[1]Northwell, New Hyde Park, NY, USA [2]Department of Radiation Medicine, Zucker School of Medicine at Hofstra/Northwell, Lake Success, NY, USA [3]Department of Physics and Astronomy, Hofstra University, Hempstead, NY, USA

出　　处：《International Journal of Medical Physics, Clinical Engineering and Radiation Oncology》2023年第4期99-113,共15页医学物理学、临床工程、放射肿瘤学（英文）

摘　　要：Purpose: Patient-specific quality assurance (PSQA) requires manual operation of different workstations, which is time-consuming and error-prone. Therefore, developing automated solutions to improve efficiency and accuracy is a priority. The purpose of this study was to develop a general software interface with scripting on a human interactive device (HID) for improving the efficiency and accuracy of manual quality assurance (QA) procedures. Methods: As an initial application, we aimed to automate our PSQA workflow that involves Varian Eclipse treatment planning system, Elekta MOSAIQ oncology information system and PTW Verisoft application. A general platform, the AutoFrame interface with two imbedded subsystems—the AutoFlow and the PyFlow, was developed with a scripting language for automating human operations of aforementioned systems. The interface included three functional modules: GUI module, UDF script interpreter and TCP/IP communication module. All workstations in the PSQA process were connected, and most manual operations were automated by AutoFrame sequentially or in parallel. Results: More than 20 PSQA tasks were performed both manually and using the developed AutoFrame interface. On average, 175 (±12) manual operations of the PSQA procedure were eliminated and performed by the automated process. The time to complete a PSQA task was 8.23 (±0.78) minutes for the automated workflow, in comparison to 13.91 (±3.01) minutes needed for manual operations. Conclusion: We have developed the AutoFrame interface framework that successfully automated our PSQA procedure, and significantly reduced the time, human (control/clicking/typing) errors, and operators’ stress. Future work will focus on improving the system’s flexibility and stability and extending its operations to other QA procedures.Purpose: Patient-specific quality assurance (PSQA) requires manual operation of different workstations, which is time-consuming and error-prone. Therefore, developing automated solutions to improve efficiency and accuracy is a priority. The purpose of this study was to develop a general software interface with scripting on a human interactive device (HID) for improving the efficiency and accuracy of manual quality assurance (QA) procedures. Methods: As an initial application, we aimed to automate our PSQA workflow that involves Varian Eclipse treatment planning system, Elekta MOSAIQ oncology information system and PTW Verisoft application. A general platform, the AutoFrame interface with two imbedded subsystems—the AutoFlow and the PyFlow, was developed with a scripting language for automating human operations of aforementioned systems. The interface included three functional modules: GUI module, UDF script interpreter and TCP/IP communication module. All workstations in the PSQA process were connected, and most manual operations were automated by AutoFrame sequentially or in parallel. Results: More than 20 PSQA tasks were performed both manually and using the developed AutoFrame interface. On average, 175 (±12) manual operations of the PSQA procedure were eliminated and performed by the automated process. The time to complete a PSQA task was 8.23 (±0.78) minutes for the automated workflow, in comparison to 13.91 (±3.01) minutes needed for manual operations. Conclusion: We have developed the AutoFrame interface framework that successfully automated our PSQA procedure, and significantly reduced the time, human (control/clicking/typing) errors, and operators’ stress. Future work will focus on improving the system’s flexibility and stability and extending its operations to other QA procedures.

关 键 词：Level-3 Automation Patient-Specific Quality Assurance Human Interactive Devices SCRIPTING 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]