The purpose of this pilot study is to determine the feasibility and usability of a surgical software training platform called the SOAR Webapp that will allow Johns Hopkins surgical trainees to receive rapid qualitative and quantitative feedback on both technical skills and surgical decision-making. The SOAR Webapp is a software device comprised of artificial intelligence (AI) computer vision algorithms embedded in a standalone mobile application. The software will be able to take laparoscopic videos as input and output the automated assessments for users. The investigators will also set up the clinical and logistical infrastructure needed to conduct a pilot study to evaluate the effectiveness of the SOAR computer vision system in facilitating video-based review of trainee performed operations with feedback from an expert attending surgeon. The investigators hypothesize that the video review features of the SOAR Webapp will be an effective training aid and has the potential to improve surgical education and training.
Study Type
OBSERVATIONAL
Enrollment
100
Surgical residents will use the SOAR Webapp, a video-based surgical education platform, to review intracorporeal laparoscopic procedure recordings and receive structured feedback on technical skills and surgical decision-making. The intervention includes post-operative video review with an expert surgeon and automated analytic outputs generated by computer vision algorithms, including performance metrics and annotated video segments. The intervention is used for educational and training purposes only and does not alter patient care.
Perceived resident educational impact and accuracy of operative performance assessment as measured by the SOAR Post-Intervention Evaluation Survey
This is a survey completed by surgical trainees following use of the SOAR Web Application. The survey evaluates trainee perceptions of: * Engagement in deliberate practice behaviors * Accuracy and usefulness of operative performance assessments (including psychomotor skill, tissue handling, operative progress, exposure quality, dissection quality, and error detection) * Accuracy and usefulness of pre-populated operative steps * Impact of the SOAR Web Application on the frequency and quality of engagement with attending surgeons * Overall usability and perceived challenge of the SOAR Web Application All survey items are measured using a 3-point Likert scale (Never, Sometimes, Often), with higher scores indicating greater perceived frequency, accuracy, usefulness, or educational impact, depending on the item. Survey responses are analyzed at the individual item level and summarized as frequencies and proportions. The maximum score is 30, minimum 10.
Time frame: 2 years
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