%0 Journal Article
%T Implementation of Level-3 Autonomous Patient-Specific Quality Assurance with Automated Human Interactive Devices
%A Jingqiao Zhang
%A Yizhou Zhao
%A Jameson T. Baker
%A Yijian Cao
%A Jenghwa Chang
%J International Journal of Medical Physics,Clinical Engineering and Radiation Oncology
%P 99-113
%@ 2168-5444
%D 2023
%I Scientific Research Publishing
%R 10.4236/ijmpcero.2023.124009
%X <b><span style=\"font-family:&quot;\">Purpose:</span></b><span style=\"font-family:&quot;\"> Patient-specific quality assurance (PSQA) requires manual opera</span><span style=\"font-family:&quot;\">tion of different workstations, which is
time-consuming and error-prone.</span><span style=\"font-family:&quot;\"> Therefore, developing automated solutions to
improve efficiency and accuracy is a priority. The purpose of this study was to
develop a general software <span>interface with
scripting on </span></span><span style=\"font-family:&quot;\">a </span><span style=\"font-family:&quot;\">human interactive device (HID) for improving</span><span style=\"font-family:&quot;\"> <span>the efficiency and accuracy of manual
quality assurance (QA) procedures.</span> <b>Methods:</b><span> As an initial application, we aimed to automate
our PSQA workflow</span> that involves Varian Eclipse treatment planning
system, Elekta MOSAIQ on<span>cology information
system and PTW Verisoft application. A general platform,</span> the AutoFrame
interface with two imbedded subsystems</span><span style=\"font-family:&quot;\">¡ª<span>the
AutoFlow and the PyFlow</span></span><span style=\"font-family:&quot;\">,</span><span style=\"font-family:&quot;\"> was
developed with </span><span style=\"font-family:&quot;\">a </span><span style=\"font-family:&quot;\">scripting language for automating human operations of aforementioned
systems. The interface included three function<span>al
modules: GUI module, UDF script interpreter and TCP/IP communication</span> <span>module. All workstations in the PSQA process were
connected, and mos</span>t ma<span>nual operations
were automated by AutoFrame sequentially or in parallel.</span> <b>Results:</b> More than 20 PSQA tasks were performed both manually and using the developed
AutoFrame interface. On average, 175 (¡À12) manual operations of <span>the PSQA procedure were eliminated and performed
by the automated</span> process. <span>The time to
complete a PSQA task was 8.23 (¡À0.78) minutes for the auto</span>mated
workflow, in comparison to 13.91</span><span style=\"font-family:&quot;\"> </span><span style=\"font-family:&quot;\">(¡À3.01) minutes needed for manual operations.<span> <b>Conclusion:</b> We have developed the AutoFrame
interface framework that successfully automated our PSQA procedure, and
significantly reduced</span> <span>the time, human
(control/clicking/typing) errors, and operators¡¯ stress. Fu</span>ture <span>work will focus on improving the system¡¯s flexibility
and stability and ex</span>tending its operations to other QA procedures.
%K Level-3 Automation
%K Patient-Specific Quality Assurance
%K Human Interactive Devices
%K Scripting
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=130345