Measurement of trainee autonomy in robotic-assisted lung resections using objective performance indicators.

Aaron Guo¹, Jad Elharake¹, Chandler Lowe¹, Mahmoud Abdel-Rasoul², Marissa Guo¹, Shi-Hao Lee³, Mallory Shields³, Daniel Oh³, Ioana Baiu¹, Peter J Kneuertz¹, Robert E Merritt¹, Desmond M D'Souza⁴

¹Division of Thoracic Surgery, Department of Surgery, The Ohio State University Wexner Medical Center, 410 10th Avenue, N835 Doan Hall, Columbus, OH, 43210, USA.

²Center for Biostatistics, Department of Biomedical Informatics, The Ohio State University Wexner Medical Center, Columbus, OH, USA.

³Research Division, Intuitive Surgical Inc., Sunnyvale, CA, USA.

⁴Division of Thoracic Surgery, Department of Surgery, The Ohio State University Wexner Medical Center, 410 10th Avenue, N835 Doan Hall, Columbus, OH, 43210, USA. Desmond.d'souza@osumc.edu.

PubMed DOI

Abstract

Trainee autonomy in robotic-assisted thoracic surgery is critical for growth but difficult to quantify. Robotic platforms can log intraoperative kinematic and event data that can be transformed into metrics known as objective performance indicators (OPIs). This study sought to use OPIs obtained during robotic-assisted anatomic lung resections to assess trainee console autonomy at a high-volume rob…

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