https://scholars.lib.ntu.edu.tw/handle/123456789/462402
標題: | A sharable cloud-based pancreaticoduodenectomy collaborative database for physicians: Emphasis on security and clinical rule supporting | 作者: | Yu, H.-J. HONG-SHIEE LAI Chen, K.-H. Chou, H.-C. JIN-MING WU Dorjgochoo, S. Mendjargal, A. Altangerel, E. YU-WEN TIEN Hsueh, C.-W. FEI-PEI LAI CHIH-WEN HSUEH |
公開日期: | 2013 | 卷: | 111 | 期: | 2 | 起(迄)頁: | 488-497 | 來源出版物: | Computer Methods and Programs in Biomedicine | 摘要: | 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. ? 2013 Elsevier Ireland Ltd. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84880036264&doi=10.1016%2fj.cmpb.2013.04.019&partnerID=40&md5=f3c12a983349ac593a43aeacf175b9d6 https://scholars.lib.ntu.edu.tw/handle/123456789/462402 |
ISSN: | 0169-2607 | DOI: | 10.1016/j.cmpb.2013.04.019 | SDG/關鍵字: | Clinical database; Cloud-based applications; Collaborative database; Data mining models; Decision tree analysis; Gastric emptying; Long-term outcome; Pancreaticoduodenectomy; Clouds; Data mining; Decision trees; Information management; Security of data; Database systems; aged; article; body mass; cancer center; data mining; decision tree; human; information processing; Mongolia; pancreas fistula; pancreaticoduodenectomy; physician; stomach emptying; Taiwan; Clinical database; Cloud; Pancreaticoduodenectomy; Aged; Algorithms; Body Mass Index; Computer Systems; Data Collection; Databases, Factual; Gastric Emptying; Humans; Image Processing, Computer-Assisted; Medical Informatics; Mongolia; Pancreatic Fistula; Pancreaticoduodenectomy; Registries; Reproducibility of Results; Software; Taiwan; User-Computer Interface |
顯示於: | 醫學系 |
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