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http://dx.doi.org/10.7469/JKSQM.2018.46.3.539

Development of customized patient data analysis process for quality of care improvement : focused on foreign patients  

Roh, Eul Hee (Department of Healthcare Management, Graduate School, Kyung Hee University)
Kim, Yoo Jung (Department of Healthcare Management, Graduate School, Kyung Hee University)
Park, Sang Chan (Department of Business Administration, Kyung Hee University)
Publication Information
Journal of Korean Society for Quality Management / v.46, no.3, 2018 , pp. 539-550 More about this Journal
Abstract
Purpose: The purpose of this study was to find meaningful patient groups of disease using foreign patients data and analyze implemented test of the patient groups. Methods: The data was collected by foreign patients' EMR data of K university hospital. The author proposed tree-form patients' characteristic diagram through statistical methods that association rule, proportion test, clustering using prescription information and questionnaire information. Results: This study's analysis process was applied high blood data and diabetes data. Analysis showed other characteristic of meaningful patient groups in high blood and diabetes. In high blood, test implementation rate of patient group showed the differences. And in diabetes, test implementation rate of patient group and implemented test list showed differences. Conclusion: The result of this study can play a role as basic data that can be clinical testing standard in preventive aspect. Eventually, 5 dimensions of SERVQUAL will be improved by this study's process.
Keywords
Quality of Care; Electronic Medical Record; Standard; Association Rule; Tree;
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Times Cited By KSCI : 3  (Citation Analysis)
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