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Integration of Robotic Surgical Systems in Bariatric Clinical Environments
Johnson & Johnson and Memorial Hermann-Texas Medical Center evaluate the OTTAVA robotic system's performance in multi-quadrant surgical procedures and existing operating room infrastructures.
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The cooperation between Johnson & Johnson and clinical investigators from institutions including Memorial Hermann-Texas Medical Center involves the clinical validation of a novel robotic surgical architecture. The study evaluates the system's ability to perform complex Roux-en-Y gastric bypass procedures within diverse hospital environments, addressing the technical requirements of industrial automation in healthcare settings.
Context of the Cooperation
The deployment of the OTTAVA™ Robotic Surgical System requires a collaborative framework between medical technology developers and clinical practitioners. Johnson & Johnson provides the digital infrastructure and robotic hardware, while the clinical teams, led by investigators from UTHealth Houston and Memorial Hermann, provide the operative expertise and environment for performance benchmarking.
The primary challenge addressed is the technical complexity of bariatric surgery, which involves both restrictive and reconstructive phases across multiple abdominal quadrants. This cooperation was necessary to validate the system’s performance in real-world surgical workflows and to assess its integration into varied hospital footprints.
Technical Architecture and Responsibilities
The OTTAVA™ system utilizes a unified architecture where four robotic arms are integrated directly into a standard-sized surgical table. This design diverges from traditional digital infrastructure in robotics, which typically relies on separate bulky carts or overhead booms.
- System Integration: The integrated arm-in-table design minimizes the physical footprint, allowing the system to operate within rooms as small as 243 sq. ft.
- Operational Logic: The system is engineered to facilitate multi-quadrant access without the need for undocking or repositioning equipment, a critical requirement for gastric bypass procedures.
- Partner Roles: Johnson & Johnson managed the system calibration and technical support, while clinical investigators executed the procedures and monitored the primary safety and performance endpoints.
Deployment and Clinical Implementation
The system was deployed across six participating hospitals during the FORTE clinical study. Implementation focused on the system's compatibility with existing infrastructure. In five of the six sites, the robotic procedures were conducted in operating rooms (ORs) that were not previously configured for robotic surgery due to space constraints.
Technical results from the 30-patient cohort at the 2026 ASMBS Annual Meeting confirmed:
The system was deployed across six participating hospitals during the FORTE clinical study. Implementation focused on the system's compatibility with existing infrastructure. In five of the six sites, the robotic procedures were conducted in operating rooms (ORs) that were not previously configured for robotic surgery due to space constraints.
Technical results from the 30-patient cohort at the 2026 ASMBS Annual Meeting confirmed:
- Zero Conversion Rate: All procedures were completed robotically without reverting to laparoscopic or open methods.
- Performance Stability: The system met all primary safety endpoints through 30 days post-procedure.
- Space Optimization: The architecture proved functional in ORs ranging from 243 to 694 sq. ft., demonstrating adaptability to varied facility layouts.
Impact on Surgical Precision
The results of this collaboration support an application for FDA De Novo classification. By integrating robotic components into the surgical table, the partnership has demonstrated a method to reduce the barriers to adopting robotic-assisted surgery. This approach improves process stability for complex gastric procedures and enables hospitals with smaller infrastructure to implement advanced surgical technologies.
Edited by Evgeny Churilov, Induportals Media - Adapted by AI.
www.jnjmedtech.com
The results of this collaboration support an application for FDA De Novo classification. By integrating robotic components into the surgical table, the partnership has demonstrated a method to reduce the barriers to adopting robotic-assisted surgery. This approach improves process stability for complex gastric procedures and enables hospitals with smaller infrastructure to implement advanced surgical technologies.
Edited by Evgeny Churilov, Induportals Media - Adapted by AI.
www.jnjmedtech.com

