기업조회

본문 바로가기 주메뉴 바로가기

논문 기본정보

보건정보를 활용한 가정의학과 재원일수에 관한 연구

논문 개요

기관명, 저널명, ISSN, ISBN 으로 구성된 논문 개요 표입니다.
기관명 NDSL
저널명 Journal of The Korean Data Analysis Society
ISSN ,
ISBN

논문저자 및 소속기관 정보

저자, 소속기관, 출판인, 간행물 번호, 발행연도, 초록, 원문UR, 첨부파일 순으로 구성된 논문저자 및 소속기관 정보표입니다
저자(한글) 김광환,김용하,한상태,강현철,건양대학교,건양대학교,호서대학교,호서대학교
저자(영문)
소속기관
소속기관(영문)
출판인
간행물 번호
발행연도 2007-01-01
초록 The number of hospitalization days is the time lasting from reception at the center to discharge from hospital, that is, finalizing services provided at wards. The factors having effect on the number of hospitalization days, will have features related to patients and to family medicine. The patient features related to the hospitalization days are ages of patients, diseases, seriousness, accompanying illness and so on. Especially, the hospitalization days are the index related to treatment procedures for patients, and will be used as the index which shows the practical use of services provided at wards and the quality management. While social demand for medical services has been quantity maximization until now, recent demand is changed into quality completeness.This research is to figure out features of family medicine and various factors by using patient data of family medicine of a hospital for managing patients, and to provide basic informations for shortening hospitalization days.
원문URL http://click.ndsl.kr/servlet/OpenAPIDetailView?keyValue=03553784&target=NART&cn=ATN0026931140
첨부파일

추가정보

과학기술표준분류, ICT 기술분류,DDC 분류,주제어 (키워드) 순으로 구성된 추가정보표입니다
과학기술표준분류
ICT 기술분류
DDC 분류
주제어 (키워드) Health Information,hospitalization days at family medicine,patient features,decision tree model.,Health Information,hospitalization days at family medicine,patient features,decision tree model.,보건정보,가정의학과 재원일수,의사결정나무모형.