Collaborative Surgical Team Formation: A Proposed Theoretical Framework Using Genetic Algorithm

Abstract

The imbalance in surgical team composition has a significant impact on the increment of surgical failure and error. The crucial factors influencing the optimal surgical team members are experience, skills, trust, and leadership. Hence, this study aims to maximize surgical team formation effectiveness with a systematic and data-driven approach to team composition for minimizing human error, maximizing safety, and promoting active communication and reliability among team members that can result in successful surgeries. A theoretical framework has been proposed for optimizing surgical team formation using a Genetic Algorithm (GA). This proposed framework is predicted to assemble an effective collaborative surgical team that can perform a successful surgery based on the multi-objective function: the performance indicators and social-based ratings.