Factors affecting workflow in robot-assisted surgery: a scoping review

Smart Operating Room in Digestive Surgery: A Narrative Review

The introduction of new technologies in current digestive surgical practice is progressively reshaping the operating room, defining the fourth surgical revolution. The implementation of black boxes and control towers aims at streamlining workflow and reducing surgical error by early identification and analysis, while augmented reality and artificial intelligence augment surgeons' perceptual and technical skills by superimposing three-dimensional models to real-time surgical images. Moreover, the operating room architecture is transitioning toward an integrated digital environment to improve efficiency and, ultimately, patients' outcomes. This narrative review describes the most recent evidence regarding the role of these technologies in transforming the current digestive surgical practice, underlining their potential benefits and drawbacks in terms of efficiency and patients' outcomes, as an attempt to foresee the digestive surgical practice of tomorrow.

The importance of non-technical skills in robot-assisted surgery in gynaecology

Robot-assisted surgery (RAS) in gynaecology has undergone exponential growth in recent decades, with utility in treating both benign and malignant gynaecological conditions. The technological complexities and amended theatre dynamics that RAS demands mean that effective non-technical skills (NTS) are vitally important to overcome these unique challenges. However, NTS have been neglected in RAS-training programmes with focus placed instead on the exclusive acquisition of technical skills (TS). NTS include teamwork, communication, leadership, situational awareness, decision-making and stress management. Communication is the most frequently cited NTS impacted during RAS, as the physical limitations imposed by the robotic hardware make communication exchange difficult. The full immersion that RAS enables can contribute to situational awareness deficits. However, RAS can complement communication and teamwork when multidisciplinary (MDT) surgeries (such as complex endometriosis excisions) are undertaken; dual-console capabilities facilitate the involvement of specialties such as general surgery and urology. The development of NTS in RAS cannot be achieved with in-situ experience alone, and current training is poorly standardised. RAS-training programmes and curricula for gynaecology do exist, however the integration of NTS remain limited. Simulation is a viable tool to facilitate enhanced-NTS integration, yet cost implications form a barrier to its wider implementation. However, given that RAS will continue to occupy a greater proportion of the gynaecological caseload, integration of NTS within gynaecological RAS training curricula is necessary. Patients undergoing gynaecological RAS would benefit from the improved safety standards and enhanced surgical outcomes that would result.

The IDEAL framework for surgical robotics: development, comparative evaluation and long-term monitoring

The next generation of surgical robotics is poised to disrupt healthcare systems worldwide, requiring new frameworks for evaluation. However, evaluation during a surgical robot's development is challenging due to their complex evolving nature, potential for wider system disruption and integration with complementary technologies like artificial intelligence. Comparative clinical studies require attention to intervention context, learning curves and standardized outcomes. Long-term monitoring needs to transition toward collaborative, transparent and inclusive consortiums for real-world data collection. Here, the Idea, Development, Exploration, Assessment and Long-term monitoring (IDEAL) Robotics Colloquium proposes recommendations for evaluation during development, comparative study and clinical monitoring of surgical robots-providing practical recommendations for developers, clinicians, patients and healthcare systems. Multiple perspectives are considered, including economics, surgical training, human factors, ethics, patient perspectives and sustainability. Further work is needed on standardized metrics, health economic assessment models and global applicability of recommendations.

Workflow disruptions in robot-assisted surgery

Surgical flow disruptions are unexpected deviations from the natural progression which can potentially compromise the safety of the operation. Separation of the surgeon from the patient and team members is the main contributor for flow disruptions (FDs) in robot-assisted surgery (RAS). FDs have been categorised as communication, coordination, surgeon task considerations, training, equipment/ technology, external factors, instrument changes, and environmental factors. There may be an association between FDs and task error rate. Intervention to counter FDs include training, operating room adjustments, checklists, teamwork, communication improvement, ergonomics, technology, guidelines, workflow optimisation, and team briefing. Future studies should focus on identifying the significant disruptive FDs and the impact of interventions on surgical flow during RAS.