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An Analysis of Laparoscopic and Robotic Minimally Invasive Surgeries: Surgeon Experience, Learning, and Task Performance

Journal of Operations Management · Pradeep K. Pendem, Sriram Narayanan, Roger R. Dmochowski, Vikram Tiwari

operationsoperations/service-operationsmethodmethod/empiricalanalytics

摘要

本研究基于任务-技术匹配与匹配挪用模型理论,利用美国大型大学医院专科手术数据,分析外科医生在不同手术方法(腹腔镜辅助与机器人辅助微创手术)间的学习迁移。研究发现,从机器人辅助手术到腹腔镜手术的学习迁移效果更强,且跨技术学习迁移具有不对称性;方法学习与任务学习对手术时长的影响存在差异。研究强调了技术能力在跨方法知识转移中的重要性,为手术团队的技术培训与经验积累提供了管理启示。

ABSTRACT

The study examines the transfer of learning in the context of different surgical methods used to complete surgical procedures. Surgeons' total experience is characterized by the procedure (i.e., focal or different) and the surgical technology or method used (i.e., laparoscopic-assisted minimally invasive surgery [LAS] or robot-assisted minimally invasive surgery [RAS]). Using data from a large US university hospital with specialized surgical departments, and drawing on task-technology fit and fit appropriation model theories, we propose three novel hypotheses that focus on different facets of how learning transfers across methods and tasks for individuals. The findings contribute to research on individual learning by distinguishing between method learning (how the task is performed) and task learning (the knowledge of the task itself). We find the following key findings. First, the experience from the RAS (LAS) method has a significant (no) effect in reducing LAS (RAS) duration for the same procedure. Second, learning from other procedures is contingent on the method used to complete the task. Specifically, the experience from other procedures completed using the LAS (RAS) method increases (decreases) the LAS (RAS) duration. Overall, the results indicate that the transfer of learning from RAS to LAS is greater than from LAS to RAS. This suggests that learning transfer across technologies is asymmetrical and requires careful consideration regarding how accumulated surgical experience from various technologies impacts task performance. From a task-technology fit and fit appropriation model theory perspective, our study highlights the importance of technologies' capabilities in knowledge transfer across methods.

An Analysis of Laparoscopic and Robotic Minimally Invasive Surgeries: Surgeon Experience, Learning, and Task Performance