Suppr超能文献

使用PICO将医学证据与医生的决策模型相结合。

Using PICO to align medical evidence with MDs decision making models.

作者信息

O'Sullivan Dympna, Wilk Szymon, Michalowski Wojtek, Farion Ken

机构信息

Center for Health Informatics, Center for Human Computer Interaction Design, City University London, London, UK.

出版信息

Stud Health Technol Inform. 2013;192:1057.

Abstract

Modern medicine is characterized by an "explosion" in clinical research information making practical application of Evidence-Based Medicine (EBM), problematic for many clinicians. We have developed a PICO-(evidence based search strategy focusing on Patient/Population, Intervention, Comparison and Outcome)-based framework for (indexing and retrieving medical evidence and we posit that the use of PICO allows for organizing evidence that is aligned with an MD's decision making model. We describe a study where medical students evaluated our PICO-based approach and results show that students are eager to apply EBM but are hindered by a lack of specialist skills. Students reported that the PICO-based framework for organizing evidence provided an intuitive way of accessing and evaluating evidence and would be useful for their clinical tasks.

摘要

现代医学的特点是临床研究信息“爆炸式增长”,这使得循证医学(EBM)在实际应用中对许多临床医生来说颇具问题。我们开发了一种基于PICO(一种聚焦于患者/人群、干预措施、对照和结果的循证搜索策略)的框架用于索引和检索医学证据,并且我们认为使用PICO能够整理与医生决策模型相一致的证据。我们描述了一项研究,在该研究中,医学生对我们基于PICO的方法进行了评估,结果显示学生们渴望应用循证医学,但却因缺乏专业技能而受到阻碍。学生们报告称,基于PICO的证据整理框架提供了一种直观的获取和评估证据的方式,并且对他们的临床任务会很有用。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验