Riad Abdullah, Hadid Majed, Elomri Adel, Al-Ansari Ahmad, Rejeb Mohamed Amine, Qaraqe Marwa, Dakua Sarada Parsad, Jaber Abdel Rahman, Al-Ansari Abdulla, Aboumarzouk Omar M, El Omri Abdelfatteh
Division of Engineering Management and Decision Sciences, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
Weill Cornell Medicine-Qatar, Qatar Foundation - Education City, P.O. Box 24144, Doha, Qatar.
Surg Pract Sci. 2025 Jul 6;22:100294. doi: 10.1016/j.sipas.2025.100294. eCollection 2025 Sep.
In recent years, Robot-Assisted Surgeries (RAS) have advanced significantly, revolutionizing healthcare with better patient outcomes, faster recovery times, and greater surgical accuracy. However, challenges such as restricted maneuverability and communication issues persist, along with the need to evaluate surgeons' proficiency in RAS. Healthcare 5.0 seeks to enhance RAS by integrating technologies like advanced imaging, haptic feedback, and artificial intelligence.
This paper explores the Operational Management of Robotic-Assisted Surgeries (OM-RAS) by analyzing recent research. It assesses surgical robotics operations, workflow optimization, performance enhancement, and skill assessment. Additionally, it examines challenges and gaps in the RAS domain, providing a comprehensive research overview.
A comprehensive literature search was conducted across databases such as Scopus, Web of Science, and Google Scholar, covering publications up to the third quarter of 2023. Search terms were selected using scientific criteria and validated by experts, resulting in a substantial document collection. A rigorous screening process, aligned with PRISMA 2020 standards, filtered the selection to 50 research papers, forming the foundation for detailed investigation.
OM-RAS is a multidimensional field influenced by emerging technologies that optimize workflows, enhance performance, and improve skill assessment in RAS. Despite superior outcomes, challenges such as implementation costs and seamless technology integration persist. Additionally, research gaps exist regarding RAS benefits, creating opportunities for efficiency enhancement in patient care. Further exploration of RAS procedure scheduling across different surgery types is essential.
Integrating advanced technologies into RAS has improved surgical outcomes, shortened hospital stays, and enhanced working environments. This study advocates for a holistic multi-criteria decision-making approach, considering factors like kinematics, imaging, Internet of Things/Tactile Internet (IoT/TI), and AI. It provides valuable insights, guiding future research and shaping OM-RAS studies.
近年来，机器人辅助手术（RAS）取得了显著进展，通过改善患者预后、缩短恢复时间和提高手术精度，给医疗保健领域带来了变革。然而，诸如可操作性受限和通信问题等挑战依然存在，同时还需要评估外科医生在机器人辅助手术方面的熟练程度。医疗保健5.0旨在通过整合先进成像、触觉反馈和人工智能等技术来提升机器人辅助手术。
本文通过分析近期研究探讨机器人辅助手术的运营管理（OM-RAS）。它评估手术机器人操作、工作流程优化、性能提升和技能评估。此外，它还研究了机器人辅助手术领域的挑战和差距，提供了全面的研究综述。
在Scopus、科学网和谷歌学术等数据库中进行了全面的文献检索，涵盖截至2023年第三季度的出版物。搜索词根据科学标准选定并经专家验证，从而收集到大量文献。按照PRISMA 2020标准进行了严格的筛选过程，将文献筛选至50篇研究论文，为详细调查奠定了基础。
机器人辅助手术的运营管理是一个多维度领域，受到新兴技术的影响，这些技术优化了机器人辅助手术的工作流程、提升了性能并改进了技能评估。尽管取得了卓越的成果，但实施成本和技术无缝集成等挑战依然存在。此外，在机器人辅助手术的益处方面存在研究空白，这为提高患者护理效率创造了机会。进一步探索不同手术类型的机器人辅助手术程序安排至关重要。
将先进技术整合到机器人辅助手术中改善了手术效果、缩短了住院时间并改善了工作环境。本研究倡导采用整体多标准决策方法，考虑运动学、成像、物联网/触觉互联网（IoT/TI）和人工智能等因素。它提供了有价值的见解，指导未来的研究并塑造机器人辅助手术的运营管理研究。
