A Clinical-Process Data-Analysis Tool Using Interactive Visualization and Automatic Clustering
نویسندگان
چکیده
A novel data-analysis tool incorporated with an interactive visualization and an automatic clustering was developed. The tool specializes in variance analysis, especially in handling a large volume of clinical-process data from plural patients. The interactive visualization enables users to identify outliers and variance to improve clinical process and homogeneous processes to develop critical pathways. The automatic clustering can reduce the amount of labor needed to discriminate these subpopulations. The data-analysis tool was validated by tests with several inpatient surgical-clinical processes. Consequently, it was found that the tool can significantly reduce the labor for data analysis.
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