Browse > Article
http://dx.doi.org/10.4332/KJHPA.2006.16.1.054

Analyses of the Non-Examinees' Characteristics for the Effective Health Screening Management  

Lee, Ae-Kyung (National Health Insurance Corporation, Research Center)
Lee, Sun-Mi (The Catholic University of Korea, College of Nursing)
Park, Il-Su (National Health Insurance Corporation, Research Center)
Publication Information
Health Policy and Management / v.16, no.1, 2006 , pp. 54-72 More about this Journal
Abstract
This study was conducted as the primary work to develop a customer relationship management (CRM) system to improve the performance of health screening programs. The specific aims of the study was to identify and classify the characteristics of the people who did not receive their health screening using decision trees and to propose management strategies according to their characteristics identified. The data on a total of 5,102,761 subjects of health screening provided by the National Health Insurance Program in the year of 2002 were used. The target variable was whether they underwent their health screening. The input variables included a total of 27. The SAS 9.1 version was used for data preprocessing and statistical analyses. SAS Enterprise Miner was used to develop the decision trees model. The decision trees identified the factors greatly affecting the health screening. In the non-disease group, the highest rate of non-examinees was characterized by: no experience of receiving a health screen, household's age, non-insured episode for the last one year, and patients' age. In the disease group, the one showing the highest rate of non-examinees was characterized by: no experience of receiving a health screening, no experience of going to public health center or midwife clinic for the last one year, and examinees' age. Developing CRM systems for health screening management taking into account the individual characteristics would be considerably helpful to increase the rate of receiving health screening.
Keywords
Health screening; Customer relationship Management(CRM); Decision trees;
Citations & Related Records
연도 인용수 순위
  • Reference
1 강현철. 한상태. 최종후. 김은석. 김미경. 데이터마이닝 : SAS Enterprise Miner 4.0을 이용한. 서울: 자유아카데미; 2001
2 강성홍, 용왕식 등. 건강보험공단의 건강증진시스템 개발. 서울: 인제대학교; 2003
3 김광용, 김명섭. 고객관계관리(CRM)를 위한 데이터마이닝의 활용과 실습. 서울: 숭실대학교 출판부; 2005
4 이원철 등. 건강검진.암검사 수검행태 연구. 서울:국민건강보험공단/가톨릭대학교 의과대학;2003
5 이경숙. 고객관계관리(CRM) 기법을 활용한 병원마케팅 전략개발에 관한 연구. 대한병원협회지 2003; 73-84
6 이덕철, 서일, 이혜리, 김동기. 성인별 건강검진 순응도에 영향을 미치는 요인-한 지역의료보험 조합 피보험자들을 대상으로. 가정의학회지 1997; 18(7):739-751
7 이애경, 정희자, 박일수. 건강보험공단 업무의 데이터마이닝 활용방안 연구. 서울: 국민건강보험공단; 2004
8 국민건강보험공단. 2003년도 건강검진 결과분석. 서울: 국민건강보험공단; 2004
9 최순호 등. 건강증진사업을 위한 CRM 시스템 개발. 울산: 울산광역시 중구보건소; 2003
10 강성홍, 최순호. 데이터마이닝을 이용한 보건소의 건강증진사업의 효율화 방안. 대한의료정보학회지 2001; 7(2):37-48
11 Hanley JA, McNeil BJ. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 1982; 143(1): 29-36   DOI
12 Hanley JA, McNeil BJ, A method of comparing the areas under receiver operating characteristic curves derived from the same cases. Radiology 1983; 148(3): 839-843   DOI
13 이윤수. 의료기관을 위한 고객관계관리. 대한병원협회지 2001; 67-72
14 김경우. CRM의 도입과 추진전략에 관한 연구. 한국컴퓨터정보학회지 2002;7(4):211-219