Pancreaticoduodenectomy (PD) is a complex surgery with a high risk of complications, necessitating a robust database to track patient outcomes.
The research aimed to create a secure, cloud-based international PD database that enhances data sharing and accuracy for studying post-surgery complications.
The system currently includes data from nearly 500 patients across several medical centers, revealing important findings about factors contributing to complications like delayed gastric emptying and pancreatic fistula.