首页|A sharable cloud-based pancreaticoduodenectomy collaborative database for physicians: Emphasis on security and clinical rule supporting

A sharable cloud-based pancreaticoduodenectomy collaborative database for physicians: Emphasis on security and clinical rule supporting

扫码查看
原文链接
  • NSTL
  • Elsevier
Background: Pancreaticoduodenectomy (PD) is a major operation with high complication rate. Thereafter, patients may develop morbidity because of the complex reconstruction and loss of pancreatic parenchyma. A well-designed database is very important to address both the short-term and long-term outcomes after PD. Objective: The objective of this research was to build an international PD database implemented with security and clinical rule supporting functions, which made the data-sharing easier and improve the accuracy of data. Methods: The proposed system is a cloud-based application. To fulfill its requirements, the system comprises four subsystems: a data management subsystem, a clinical rule supporting subsystem, a short message notification subsystem, and an information security subsystem. After completing the surgery, the physicians input the data retrospectively, which are analyzed to study factors associated with post-PD common complications (delayed gastric emptying and pancreatic fistula) to validate the clinical value of this system. Results: Currently, this database contains data from nearly 500 subjects. Five medical centers in Taiwan and two cancer centers in Mongolia are participating in this study. A data mining model of the decision tree analysis showed that elderly patients (>76 years) with pylorus-preserving PD (PPPD) have higher proportion of delayed gastric emptying. About the pancreatic fistula, the data mining model of the decision tree analysis revealed that cases with non-pancreaticogastrostomy (PG) reconstruction - body mass index (BMI). >29.65 or PG reconstruction - BMI. >23.7 - non-classic PD have higher proportion of pancreatic fistula after PD. Conclusions: The proposed system allows medical staff to collect and store clinical data in a cloud, sharing the data with other physicians in a secure manner to achieve collaboration in research.

Clinical databaseCloudPancreaticoduodenectomy

Mendjargal,A.、Altangerel,E.、Tien,Y.-W.、Hsueh,C.-W.、Lai,F.、Yu,H.-J.、Lai,H.-S.、Chen,K.-H.、Chou,H.-C.、Wu,J.-M.、Dorjgochoo,S.

展开 >

Department of Hepatobiliary-pancreatic Surgery, Mongolian National Cancer Center, Ulaanbaatar

Computer Science and Management School, Mongolian University of Science and Technology, Ulaanbaatar

Department of Surgery, National Taiwan University Hospital, Taiwan

Department of Computer Science and Information Engineering, National Taiwan University, Taiwan

Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taiwan

Department of Surgery, Far-Eastern Memorial Hospital, Taiwan

展开 >

2013

10.1016/j.cmpb.2013.04.019

Computer Methods and Programs in Biomedicine

Computer Methods and Programs in Biomedicine

EISCI
ISSN：0169-2607
年,卷(期)：2013.111(2)
  • 8
  • 26