Identifying Workflow Disruptions in Robotic-Assisted Bariatric Surgery: Elucidating Challenges Experienced by Surgical Teams

• Published in: Obesity surgery Vol. 33; no. 7; pp. 2083 - 2089
• Main Authors: Zamudio, Jennifer, Kanji, Falisha F., Lusk, Connor, Shouhed, Daniel, Sanchez, Barry R., Catchpole, Ken, Anger, Jennifer T., Cohen, Tara N.
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.07.2023; Springer Nature B.V
• Subjects: Bariatric Surgery; Gastrointestinal surgery; Humans; Medicine; Medicine & Public Health; Obesity; Obesity, Morbid - surgery; Observational studies; Original Contributions; Patients; Robotic surgery; Robotic Surgical Procedures - methods; Surgery; Weight control; Workflow; Bariatric; Flow disruption; Robotic bariatric surgery; Robotic-assisted surgery
• ISSN: 0960-8923; 1708-0428; 1708-0428
• DOI: 10.1007/s11695-023-06620-4

Purpose Bariatric surgery is an effective and durable treatment for weight loss for patients with extreme obesity. Although traditionally approached laparoscopically, robotic bariatric surgery (RBS) has unique benefits for both surgeons and patients. Nonetheless, the technological complexity of robotic surgery presents new challenges for OR teams and the wider clinical system. Further assessment of the role of RBS in delivering quality care for patients with obesity is necessary and can be done through a human factors approach. This observational study sought to investigate the impact of RBS on the surgical work system via the study of flow disruptions (FDs), or deviations from the natural workflow progression. Materials and Methods RBS procedures were observed between October 2019 and March 2022. FDs were recorded in real time and subsequently classified into one of nine work system categories. Coordination FDs were further classified into additional sub-categories. Results Twenty-nine RBS procedures were observed at three sites. An average FD rate of 25.05 (CI =  ± 2.77) was observed overall. FDs were highest between insufflation and robot docking ( M  = 29.37, CI =  ± 4.01) and between patient closing and wheels out ( M  = 30.00, CI =  ± 6.03). FD rates due to coordination issues were highest overall, occurring once every 4 min during docking ( M  = 14.28, CI =  ± 3.11). Conclusion FDs occur roughly once every 2.4 min and happen most frequently during the final patient transfer and robot docking phases of RBS. Coordination challenges associated with waiting for staff/instruments not readily available and readjusting equipment contributed most to these disruptions. Graphical abstract