Learning Curves for Robotic-Assisted Ventral Hernia Repair
Wei San Loh, Ryan A. Howard, Brian T. Fry, Jyothi R. Thumma, Edward C. Norton, Justin B. Dimick, Kyle H. Sheetz · 2024
Read Learning Curves for Robotic-Assisted Ventral Hernia Repair by Wei San Loh, Ryan A. Howard, Brian T. Fry, Jyothi R. Thumma, Edward C. Norton, Justin B. Dimick, Kyle H. Sheetz (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11615711.txt.
Description
Wei San Loh and co-authors measure the learning curve for robot hernia surgery in this 2024 study. Robotic repair of belly wall hernias has grown fast in the United States. New tools usually take practice before results match older methods. The team used Medicare records from 2010 to 2020 to find how much practice is enough.
The data covered more than 160,000 patients and over 23,000 surgeons. Repeat surgery for hernia return fell as a surgeon's robotic case count rose. Results matched the older keyhole and open methods after roughly sixteen to nineteen robotic cases. Only about six percent of robotic surgeons reached that volume. Training and case sharing may need rethinking.
Catalog record
| CREATOR | Wei San Loh, Ryan A. Howard, Brian T. Fry, Jyothi R. Thumma, Edward C. Norton, Justin B. Dimick, Kyle H. Sheetz |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 23 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |