A sharable cloud-based pancreaticoduodenectomy collaborative database for physicians: emphasis on security and...

Area of Science:

• Surgical Oncology
• Health Informatics
• Clinical Research

Background:

• Pancreaticoduodenectomy (PD) is a complex procedure with significant morbidity.
• Effective data management is crucial for understanding short- and long-term outcomes post-PD.

Purpose of the Study:

• To develop a secure, international pancreaticoduodenectomy (PD) database with clinical rule support.
• To facilitate easier data sharing and enhance data accuracy for PD research.

Main Methods:

• A cloud-based system with four subsystems: data management, clinical rule support, notification, and security.
• Retrospective data collection post-surgery, with analysis focused on common complications like delayed gastric emptying and pancreatic fistula.

Main Results:

• The database includes data from nearly 500 subjects across multiple international medical centers.
• Data mining identified elderly patients (>76 years) with pylorus-preserving PD (PPPD) are at higher risk for delayed gastric emptying.
• Specific BMI ranges and reconstruction methods (e.g., non-pancreaticogastrostomy) are associated with an increased proportion of pancreatic fistula.

Conclusions:

• The developed system enables secure cloud-based data collection and sharing among medical professionals.
• This facilitates collaborative research to improve patient outcomes after pancreaticoduodenectomy.