The transformation of surgery patient care with a clinical research information system

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Implementing a computerized clinical research information system (CRIS) can make clinical research easier and more efficient while improving patient care by providing surgeons with performance feedback. To transform the original manual patient information management system so it delivers patient care, this study developed a CRIS for cardiovascular disease to facilitate surgery treatment tracking. The CRIS tracks hundreds of pieces of data through surgical stages and converts these data into computerized registries, provides surveillance mechanisms, and generates clinical interpretive reports in a timely manner. Surgeons can use the CRIS to identify surgical-related data and interventional cardiovascular procedure risks based on specific patient characteristics, and it has increased the quality and efficiency of patient care. An intelligent data analysis (IDA) tool based on the Weka library that seamlessly integrates with the CRIS has helped provide models for clinical research.

论文关键词:Clinical research information system,Computerized registry,Ontology model,Intelligent data analysis,Machine learning

论文评审过程:Available online 20 July 2012.

论文官网地址:https://doi.org/10.1016/j.eswa.2012.07.020