St. Cloud Surgical Center, St. Cloud, MN
Stryker, Mahwah, NJ
Surg Technol Int. 2023 Dec 15;43:191-195. doi: 10.52198/23.STI.43.OS1708.
Robotic-arm assisted total hip arthroplasty (RATHA) has been demonstrated to offer several benefits, such as increased accuracy in the placement of implants, improved patient outcomes and reduced complications such as dislocations in total hip arthroplasty. However, the potential increase in surgical time may sway some practitioners to hesitate adopting this technology, despite its benefits. Studies of RATHA learning curves have demonstrated that time neutrality can be achieved, but do not describe an efficient workflow. This paper lays out a process to achieve an optimal RATHA workflow and efficiencies in an ambulatory surgery center and presents timing data from 105 cases. We demonstrate that the learning curve for implementing RATHA can be navigated such that providers can offer the clinical benefits of RATHA to their patients without increasing operative or overall perioperative patient time.
机器人辅助全髋关节置换术 (RATHA) 已被证明具有多项优势，例如提高了植入物放置的准确性、改善了患者的预后并减少了全髋关节置换术的并发症（如脱位）。然而，手术时间的潜在增加可能会使一些医生对采用这项技术犹豫不决，尽管它有好处。对 RATHA 学习曲线的研究表明，手术时间可以达到中性，但并没有描述出一个有效的工作流程。本文介绍了一种在门诊手术中心实现最佳 RATHA 工作流程和效率的方法，并展示了 105 例病例的时间数据。我们证明，实施 RATHA 的学习曲线是可以被克服的，这样医生就可以为患者提供 RATHA 的临床益处，而不会增加手术或整体围手术期患者的时间。
