Robotic-Arm Assisted Total Hip Arthroplasty: Workflow Optimization and Operative Times

IF 0.8 Q4 SURGERY Surgical technology international Pub Date : 2023-11-30 DOI:10.52198/23.STI.43.OS1708
Joseph Nessler, Carla Stephanie, Kevin Barga, Andrea Coppolecchia
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Abstract

.

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.

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机器人手臂辅助全髋关节置换术:工作流程优化与手术时间
机器人手臂辅助全髋关节置换术(RATHA)已被证明具有多种优势,如提高植入物放置的准确性、改善患者预后以及减少全髋关节置换术中的脱位等并发症。然而,尽管这项技术有很多优点,但其可能增加的手术时间可能会让一些医生犹豫不决。 对RATHA学习曲线的研究表明,时间中立是可以实现的,但并不能描述高效的工作流程。本文阐述了在门诊手术中心实现最佳 RATHA 工作流程和效率的过程,并提供了 105 个病例的时间数据。 我们证明了实施 RATHA 的学习曲线是可以控制的,因此医疗服务提供者可以在不增加手术时间或围术期患者总体时间的情况下为患者提供 RATHA 的临床益处。
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CiteScore
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0.00%
发文量
141
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