Image retrieval behavior of medical students

Author:

Kamali Mona,Ashrafi-rizi Hasan,Afshar Mina

Abstract

BACKGROUND: The first step to properly designing image retrieval systems with the aim of meeting the needs of students and researchers is to be fully aware of their behavior in the face of these systems and image resources. The purpose of this study is to identify image retrieval behavior of medical students. MATERIALS AND METHODS: This study is an applied research that has been done by descriptive-survey method. The statistical population of this study is 816 general (clinical) medical students who are studying in the fourth and fifth years. Using Morgan and Krejcie table, the number of statistical sample members was 265 who were selected using random sampling method. Research data have been gathered using a questionnaire (researcher made) and then analyzed using SPSS22 software. RESULTS: The findings showed that 78.1% of students consider the use of images in class presentations or scientific reporting as the most important reason. According to 73.6% of respondents, the highest rate of image search is in the form of videos. About 76.2% of them consider general search engines to be the most common source for receiving images. For this purpose, only 3.8% of students refer to the librarians. Among the databases from which medical images can be obtained, the most well-known source was the Springer website, which 30.6% of respondents were familiar. CONCLUSION: The process of meeting the image-seeking needs is influenced by various individual, social, and other factors. This study can improve this process by providing the necessary suggestions to medical students, for eliminating barriers and problems in accessing reliable resources and visual information they require, to clarify the necessity of promoting technical knowledge to search accurately and to help for finding solutions to medical and treatment educational centers to have access to reliable and up-to-date information.

Publisher

Medknow

Reference15 articles.

1. Users’ relevance criteria in image retrieval in American history;Choi;Inf Proc Manag,2002

2. The evolution of visual information retrieval;Enser;J Inf Sci,2008

3. Information seeking behavior of postgraduate students of Qazvin University of Medical Sciences for retrieval of specialized images and videos;Kalantari;J Payavard Salamat,2017

4. Comparative study of methodological approach to models and studies of information seeking behavior of Iranian researchers;Mokhtarpour;Human Inf Interact,2015

5. Medical image retrieval in the web from the perspective of experts in medical sciences: A qualitative study;Kiani;J Health Administ,2013

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3