Title of article :
The transformation of surgery patient care with a clinical research information system
Author/Authors :
Hsieh، نويسنده , , Nan-Chen and Lee، نويسنده , , Kuo-Chen and Chen، نويسنده , , Wei، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2013
Pages :
11
From page :
211
To page :
221
Abstract :
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.
Keywords :
Clinical research information system , Computerized registry , Ontology model , Intelligent data analysis , Machine Learning
Journal title :
Expert Systems with Applications
Serial Year :
2013
Journal title :
Expert Systems with Applications
Record number :
2352898
Link To Document :
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