진료 품질 향상을 위한 환자 데이터 맞춤형 분석 프로세스 개발: 외국인 환자를 중심으로
Development of customized patient data analysis process for quality of care improvement : focused on foreign patients
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초록
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.
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.
참고문헌 (24)
- 안현, "유방암 발생에 영향을 미치는 위험인자 분석: 유방초음파 검진자 대상으로", 한국방사선학회논문지, 11(4), pp.289~295 (2017), 한국방사선학회[DOI]
- Bae, I. H., "An Association Rule Mining Approach to Extract Clinical Pathways from EMR", Proceedings of Korea Information Processing Society Spring Conference, 12(1), pp.577~580 (2005)
- Choi, I. J., "Development of Statistical Model for Distinction of Secondary Medical Examination Recipient using Health Questionnaire", Journal of Basic Science, 14, pp.1~15 (2004)
- Chu, S. M., "Use of traditional Chinese medicine in patients with hyperlipidemia: A population-based study in Taiwan", Journal of ethnopharmacology, 168, pp.129~135 (2015)[DOI]
- Graybeal, K. B., "Clinical pathways development :The Overlake model", Nursing Management, 24(4), pp.42~45 (1993)
- 홍재석, "우리나라 외래서비스 이용 당뇨환자의 특성에 따른 당화혈색소(HbA1c)검사 시행률 변이 분석", 보건행정학회지, 19(1), pp.49~61 (2009), 한국보건행정학회
- 황선덕, "급성신우신염 환자에서 균혈증의 위험 인자 분석 - 단일기관 분석", Kidney Research and Clinical Practice, 28(5), pp.418~423 (2009), 대한신장학회
- Joe, S. R., "Evaluation of the Items of Questionnaire Based on the Result of Health Screening", Dongduk journal of life science studies, 7, pp.13~27 (2002)
- 정광훈, "의료 데이터 매시업과 빅데이터 기법 활용을 통한 환자의 재입원 가능성 예측과 원인 분석", Entrue Journal of Information Technology, 14(3), pp.133~149 (2015), 엘지씨엔에스
- Jung, K. C., "Current States and Development Issues of Personalized Medicine based on Personal Genome", STEPI Insight, 179, pp.1~39 (2015)
- 김정숙, "바비튜레이트 혼수요법의 임상적용결과 및 예후영향인자 분석", Journal of The Korean Data Analysis Society, 12(2), pp.763~780 (2010), 한국자료분석학회
- 김민환, "매개연관규칙과 매크로 알고리즘의 개발", Journal of The Korean Data Analysis Society, 10(3), pp.1549~1559 (2008), 한국자료분석학회
- 김민수, "장애아동 진정치료에 대한 표준진료지침의 개발", 대한소아치과학회지, 42(3), pp.226~232 (2015), 대한소아치과학회[DOI]
- 곽상규, "후향적연구의 집단 간 동등성확보를 통한 임상자료분석", 한국데이터정보과학회지, 26(6), pp.1317~1325 (2015), 한국데이터정보과학회[DOI]
- Lakshmi, K. S., "Association Rule Extraction from Medical Transcripts of Diabetic Patients", 2014 Fifth International Conference, pp.201~206 (2014)
- Lee, D. G., "Discovering Medical Knowledge using Association Rule Mining in Young Adults with Acute Myocardial Infarction", JOURNAL OF MEDICAL SYSTEMS, 37(2), pp.1~10 (2013)
- Lee, K. M., "A Data Cluster Specialization-based Patient Class Management Strategy for Personalized Medicine", Proceedings of KIIS Fall Conference, 20(2), pp.323~324 (2010)
- 이인희, "데이터 마이닝을 활용한 뇌경색증과 동반되는 질환의 연관성 분석", 대한물리치료학회지, 22(1), pp.75~81 (2010), 대한물리치료학회
- 오두남, "상부 위장관 질환군별 영향 요인 및 소화기 증상에 관한 비교 연구", 한국콘텐츠학회 논문지, 11(12), pp.335~346 (2011), 한국콘텐츠학회
- Ordonez, C., "Association Rule Discovery With the Train and Test Approach for Heart Disease Prediction", IEEE Journal of Biomedical and Health Informatics, 10(2), pp.334~343 (2006)
- 박호식, "의료 정보 추출을 위한 TF-IDF 기반의 연관규칙 분석 시스템", 정보처리학회 논문지, 5(3), pp.145~154 (2016), 한국정보처리학회[DOI]
- 박용순, "국내 의료기관 암 검진 프로그램의 근거 중심 평가", Korean Journal of Health Promotion, 9(2), pp.86~96 (2009), 대한임상건강증진학회
- 양희진, "국내 일부 3차 의료기관에서 실시하는 종합검진의 검사항목에 관한 근거 조사", Korean Journal of Family Medicine, 27(9), pp.723~732 (2006), 대한가정의학회
- 유기상, "연관성 분석에서 표준화 향상도의 개선 방안 연구", Journal of The Korean Data Analysis Society, 18(1), pp.189~197 (2016), 한국자료분석학회