메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
임우섭 (경북대학교) 김종근 (경북대학교) 안재윤 (경북대학교)
저널정보
대한응급의학회 대한응급의학회지 대한응급의학회지 제26권 제5호
발행연도
2015.1
수록면
424 - 429 (6page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
Purpose: For the differential diagnosis of acute abdomen, abdominal computed tomography (CT) is commonly performed in the emergency department (ED). Rapid and accurate interpretation after CT is essential; however, final interpretation of the images by a board-certified radiologist for 24 hours a day is nearly impossible. Therefore, a preliminary interpretation is mainly made by emergency physicians in the ED, which may result in some discrepancy with the interpretations of board-certified radiologists. This study was conducted to determine the discrepancy rate of emergency medicine (EM) residents’preliminary interpretation and any reduction in discrepancy through feedback imaging education programs by attending radiologists. Methods: This was a before-and-after study, including 540 cases of abdominal CT scans performed in the ED between November 1, 2014 and April 30, 2015. Residents first documented their preliminary interpretation of 300 cases for 3 months. Board-certified radiologists then provided feedback image education to EM residents for these cases for 1 month. After feedback education, preliminary interpretations of 240 cases were documented for 2 months. Discrepancy rates before and after feedback education were then analyzed. Results: Total and major discrepancy rates before feedback image education were 28% and 11.7%, respectively, which declined to 14.6% and 4.6%, respectively, after feedback image education (p<0.05). Conclusion: Feedback image education was effective in reducing the discrepancy rate of the interpretation of abdominal CT scans by EM residents.

목차

등록된 정보가 없습니다.

참고문헌 (19)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0