Across Walls: First Intra-hospital Remote Hugo Robotic Assisted Bariatric Surgery.

The evolution of robotic-assisted surgery has enabled innovative workflow models designed not only to ensure safety but also to improve surgeon ergonomics and optimize operating room (OR) utilization. Remote robotic surgery has traditionally focused on inter-hospital or long-distance applications, yet intra-hospital remote surgery represents a practical extension with unique advantages. We describe the first case of intra-hospital remote Hugo robotic-assisted metabolic and bariatric surgery, performed across separate hospital areas using a secure, low-latency fiber-optic connection.A 24-year-old male (BMI 56.2 kg/m²) with class III obesity and multiple comorbidities underwent robotic sleeve gastrectomy with proximal jejunal bypass and hiatal hernia repair. The patient cart was positioned in Operating Room A, while the surgeon console was located 20 m away in an administrative office.A trained bedside team provided operative support. The procedure was completed without complications, with operative and docking times comparable to conventional in-room robotic surgery, minimal blood loss, and discharge on postoperative day three. No network-related delays or technical failures occurred.Beyond technical feasibility, this case highlights several potential advantages of intra-hospital remote robotic surgery. Console relocation outside the OR improved surgeon comfort and reduced exposure to intraoperative hazards. OR space was optimized, creating a safer and more efficient environment for anesthesiology and nursing staff. The setup also facilitated educational observation without disrupting the sterile field and provides a scalable framework that may extend to cross-departmental or even inter-campus collaboration. This pioneering case demonstrates not only the technical feasibility and successful completion without complications but also the broader clinical and institutional value of intra-hospital remote robotic-assisted surgery. As a single-case report, no statistical inference or comparative conclusion can be drawn.