Muin Michael, Fontelo Paul, Liu Fang, Ackerman Michael
Office of High Performance Computing and Communications, National Library of Medicine, 8600 Rockville Pike, Bethesda, Maryland 20894, USA.
BMC Med Inform Decis Mak. 2005 Dec 1;5:37. doi: 10.1186/1472-6947-5-37.
With the rapid growth of medical information and the pervasiveness of the Internet, online search and retrieval systems have become indispensable tools in medicine. The progress of Web technologies can provide expert searching capabilities to non-expert information seekers. The objective of the project is to create an alternative search interface for MEDLINE/PubMed searches using JavaScript slider bars. SLIM, or Slider Interface for MEDLINE/PubMed searches, was developed with PHP and JavaScript. Interactive slider bars in the search form controlled search parameters such as limits, filters and MeSH terminologies. Connections to PubMed were done using the Entrez Programming Utilities (E-Utilities). Custom scripts were created to mimic the automatic term mapping process of Entrez. Page generation times for both local and remote connections were recorded.
Alpha testing by developers showed SLIM to be functionally stable. Page generation times to simulate loading times were recorded the first week of alpha and beta testing. Average page generation times for the index page, previews and searches were 2.94 milliseconds, 0.63 seconds and 3.84 seconds, respectively. Eighteen physicians from the US, Australia and the Philippines participated in the beta testing and provided feedback through an online survey. Most users found the search interface user-friendly and easy to use. Information on MeSH terms and the ability to instantly hide and display abstracts were identified as distinctive features.
SLIM can be an interactive time-saving tool for online medical literature research that improves user control and capability to instantly refine and refocus search strategies. With continued development and by integrating search limits, methodology filters, MeSH terms and levels of evidence, SLIM may be useful in the practice of evidence-based medicine.
随着医学信息的迅速增长和互联网的普及,在线搜索和检索系统已成为医学中不可或缺的工具。网络技术的进步可以为非专业信息搜索者提供专业的搜索功能。该项目的目标是使用JavaScript滑块栏创建一个用于MEDLINE/PubMed搜索的替代搜索界面。SLIM,即用于MEDLINE/PubMed搜索的滑块界面,是用PHP和JavaScript开发的。搜索表单中的交互式滑块栏控制诸如限制、过滤器和医学主题词等搜索参数。使用Entrez编程实用工具(E-Utilities)连接到PubMed。创建了自定义脚本来模拟Entrez的自动术语映射过程。记录了本地和远程连接的页面生成时间。
开发者进行的阿尔法测试表明SLIM功能稳定。在阿尔法测试和贝塔测试的第一周记录了模拟加载时间的页面生成时间。索引页面、预览和搜索的平均页面生成时间分别为2.94毫秒、0.63秒和3.84秒。来自美国、澳大利亚和菲律宾的18名医生参与了贝塔测试,并通过在线调查提供了反馈。大多数用户发现搜索界面用户友好且易于使用。医学主题词信息以及即时隐藏和显示摘要的功能被认为是其独特特征。
SLIM可以成为在线医学文献研究中一个节省时间的交互式工具,它提高了用户控制能力以及即时优化和重新聚焦搜索策略的能力。随着不断发展,并通过整合搜索限制、方法过滤器、医学主题词和证据水平,SLIM可能在循证医学实践中有用。