Implementation and validation of a novel instrument for the grading of unexpected events in paediatric surgery: Clavien-Madadi classification.

Omid Madadi-SanjaniJoachim F KueblerJulia BrendelSoeren WiesnerAnnika MutanenSimon Eaton Anja Domenghino Pierre-Alain ClavienBenno M Ure

Published in: The British journal of surgery (2023)

The Clavien-Madadi classification is a tool for the detection of surgical and non-medical errors in paediatric surgery populations. Further validation in paediatric surgery populations is required before widespread use.

Keyphrases

minimally invasive
coronary artery bypass
intensive care unit
emergency department
machine learning
healthcare
deep learning
surgical site infection
percutaneous coronary intervention
coronary artery disease
acute coronary syndrome
patient reported outcomes
sensitive detection