Overcoming the Arduous Transition for Robotic Hepatopancreatobiliary Cases: A Multi-Procedure Learning Curve Study Utilizing CUSUM Analysis
| Autor: | D.R. Jeyarajah, Shyam Vedantam, Joseph S. Lim, Edward E Cho, Kei Nagatomo, Terence Jackson, Houssam Osman, James Kurtz |
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| Rok vydání: | 2020 |
| Předmět: |
medicine.medical_specialty
Operative Time CUSUM Pancreaticoduodenectomy 03 medical and health sciences Patient safety 0302 clinical medicine Blood loss Robotic Surgical Procedures Medicine Humans Retrospective Studies Heller myotomy business.industry General surgery Robotics Vascular surgery Cardiothoracic surgery Learning curve 030220 oncology & carcinogenesis 030211 gastroenterology & hepatology Surgery Laparoscopy business Learning Curve Abdominal surgery |
| Zdroj: | World journal of surgery. 45(3) |
| ISSN: | 1432-2323 |
| Popis: | Quick optimization and mastery of a new technique is an important part of procedural medicine, especially in the field of minimally invasive surgery. Complex surgeries such as robotic pancreaticoduodenectomies (RPD) and robotic distal pancreatectomies (RDP) have a steep learning curve; therefore, findings that can help expedite the burdensome learning process are extremely beneficial. This single-surgeon study aims to report the learning curves of RDP, RPD, and robotic Heller myotomy (RHM) and to review the results’ implications for the current state of robotic hepatopancreaticobiliary (HPB) surgery. This is a retrospective case series of a prospectively maintained database at a non-university tertiary care center. Total of 175 patients underwent either RDP, RPD, or RHM with the surgeon (DRJ) from January 2014 to January 2020. Statistical significance of operating room time (ORT) was noted after 47 cases for RDP (p |
| Databáze: | OpenAIRE |
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