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

진료 품질 향상을 위한 환자 데이터 맞춤형 분석 프로세스 개발: 외국인 환자를 중심으로

  • 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)
  • 노을희 (경희대학교 일반대학원 의료경영학과) ;
  • 김유정 (경희대학교 일반대학원 의료경영학과) ;
  • 박상찬 (경희대학교 경영대학)
  • Received : 2018.06.15
  • Accepted : 2018.06.28
  • Published : 2018.09.30

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

References

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