• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

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

临床医生的搜索行为可能会受到搜索引擎设计的影响。

Clinician search behaviors may be influenced by search engine design.

作者信息

Lau Annie Y S, Coiera Enrico, Zrimec Tatjana, Compton Paul

机构信息

Centre for Health Informatics, Australian Institute of Health Innovation, University of New South Wales, Sydney, Australia.

出版信息

J Med Internet Res. 2010 Jun 30;12(2):e25. doi: 10.2196/jmir.1396.

DOI:10.2196/jmir.1396
PMID:20601351
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2956236/
Abstract

BACKGROUND

Searching the Web for documents using information retrieval systems plays an important part in clinicians' practice of evidence-based medicine. While much research focuses on the design of methods to retrieve documents, there has been little examination of the way different search engine capabilities influence clinician search behaviors.

OBJECTIVES

Previous studies have shown that use of task-based search engines allows for faster searches with no loss of decision accuracy compared with resource-based engines. We hypothesized that changes in search behaviors may explain these differences.

METHODS

In all, 75 clinicians (44 doctors and 31 clinical nurse consultants) were randomized to use either a resource-based or a task-based version of a clinical information retrieval system to answer questions about 8 clinical scenarios in a controlled setting in a university computer laboratory. Clinicians using the resource-based system could select 1 of 6 resources, such as PubMed; clinicians using the task-based system could select 1 of 6 clinical tasks, such as diagnosis. Clinicians in both systems could reformulate search queries. System logs unobtrusively capturing clinicians' interactions with the systems were coded and analyzed for clinicians' search actions and query reformulation strategies.

RESULTS

The most frequent search action of clinicians using the resource-based system was to explore a new resource with the same query, that is, these clinicians exhibited a "breadth-first" search behaviour. Of 1398 search actions, clinicians using the resource-based system conducted 401 (28.7%, 95% confidence interval [CI] 26.37-31.11) in this way. In contrast, the majority of clinicians using the task-based system exhibited a "depth-first" search behavior in which they reformulated query keywords while keeping to the same task profiles. Of 585 search actions conducted by clinicians using the task-based system, 379 (64.8%, 95% CI 60.83-68.55) were conducted in this way.

CONCLUSIONS

This study provides evidence that different search engine designs are associated with different user search behaviors.

摘要

背景

使用信息检索系统在网络上搜索文档在临床医生基于证据的医学实践中起着重要作用。虽然许多研究侧重于文档检索方法的设计,但很少有人研究不同搜索引擎功能对临床医生搜索行为的影响方式。

目的

先前的研究表明,与基于资源的搜索引擎相比,使用基于任务的搜索引擎可以实现更快的搜索,且不会损失决策准确性。我们假设搜索行为的变化可以解释这些差异。

方法

总共75名临床医生(44名医生和31名临床护士顾问)被随机分配使用基于资源或基于任务的临床信息检索系统版本,在大学计算机实验室的受控环境中回答有关8个临床场景的问题。使用基于资源系统的临床医生可以从6种资源中选择1种,如PubMed;使用基于任务系统的临床医生可以从6种临床任务中选择1种,如诊断。两个系统中的临床医生都可以重新制定搜索查询。对悄悄记录临床医生与系统交互的系统日志进行编码,并分析临床医生的搜索行为和查询重新制定策略。

结果

使用基于资源系统的临床医生最常见的搜索行为是使用相同的查询探索新资源,也就是说,这些临床医生表现出“广度优先”的搜索行为。在1398次搜索行为中,使用基于资源系统的临床医生以这种方式进行了401次(28.7%,95%置信区间[CI]26.37-31.11)。相比之下,大多数使用基于任务系统的临床医生表现出“深度优先”的搜索行为,即他们在保持相同任务配置文件的同时重新制定查询关键词。在使用基于任务系统的临床医生进行的585次搜索行为中,有379次(64.8%,95%CI 60.83-68.55)是以这种方式进行的。

结论

本研究提供了证据表明不同的搜索引擎设计与不同的用户搜索行为相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5656/2956236/98b7698d2e81/jmir_v12i2e25_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5656/2956236/98b7698d2e81/jmir_v12i2e25_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5656/2956236/98b7698d2e81/jmir_v12i2e25_fig1.jpg

相似文献

1
Clinician search behaviors may be influenced by search engine design.临床医生的搜索行为可能会受到搜索引擎设计的影响。
J Med Internet Res. 2010 Jun 30;12(2):e25. doi: 10.2196/jmir.1396.
2
Comparing image search behaviour in the ARRS GoldMiner search engine and a clinical PACS/RIS.比较ARRS GoldMiner搜索引擎与临床PACS/RIS中的图像搜索行为。
J Biomed Inform. 2015 Aug;56:57-64. doi: 10.1016/j.jbi.2015.04.013. Epub 2015 May 19.
3
Natural Language Search Interfaces: Health Data Needs Single-Field Variable Search.自然语言搜索界面:健康数据需要单字段变量搜索。
J Med Internet Res. 2016 Jan 14;18(1):e13. doi: 10.2196/jmir.4912.
4
Persuading consumers to form precise search engine queries.说服消费者形成精确的搜索引擎查询。
AMIA Annu Symp Proc. 2009 Nov 14;2009:354-8.
5
Clinical decision velocity is increased when meta-search filters enhance an evidence retrieval system.当元搜索过滤器增强证据检索系统时,临床决策速度会提高。
J Am Med Inform Assoc. 2008 Sep-Oct;15(5):638-46. doi: 10.1197/jamia.M2765. Epub 2008 Jun 25.
6
Translating Clinical Questions by Physicians Into Searchable Queries: Analytical Survey Study.医生将临床问题转化为可搜索查询:分析性调查研究。
JMIR Med Educ. 2020 Apr 20;6(1):e16777. doi: 10.2196/16777.
7
Architecture for knowledge-based and federated search of online clinical evidence.基于知识和联合搜索在线临床证据的架构。
J Med Internet Res. 2005 Oct 24;7(5):e52. doi: 10.2196/jmir.7.5.e52.
8
Assessing the performance of methodological search filters to improve the efficiency of evidence information retrieval: five literature reviews and a qualitative study.评估方法学检索过滤器的性能以提高证据信息检索的效率:五项文献综述和一项定性研究。
Health Technol Assess. 2017 Nov;21(69):1-148. doi: 10.3310/hta21690.
9
Development and empirical user-centered evaluation of semantically-based query recommendation for an electronic health record search engine.电子健康记录搜索引擎基于语义的查询推荐的开发与以用户为中心的实证评估
J Biomed Inform. 2017 Mar;67:1-10. doi: 10.1016/j.jbi.2017.01.013. Epub 2017 Jan 25.
10
Improving Access to Online Health Information With Conversational Agents: A Randomized Controlled Experiment.使用对话代理改善在线健康信息的获取:一项随机对照实验。
J Med Internet Res. 2016 Jan 4;18(1):e1. doi: 10.2196/jmir.5239.

引用本文的文献

1
Do family physicians retrieve synopses of clinical research previously read as email alerts?家庭医生会检索他们之前作为电子邮件提醒阅读过的临床研究摘要吗?
J Med Internet Res. 2011 Nov 30;13(4):e101. doi: 10.2196/jmir.1683.

本文引用的文献

1
Analysis of queries sent to PubMed at the point of care: observation of search behaviour in a medical teaching hospital.对即时医疗点发送至PubMed的查询进行分析:一家医学教学医院的搜索行为观察
BMC Med Inform Decis Mak. 2008 Sep 24;8:42. doi: 10.1186/1472-6947-8-42.
2
Effectiveness of topic-specific infobuttons: a randomized controlled trial.特定主题信息按钮的有效性:一项随机对照试验。
J Am Med Inform Assoc. 2008 Nov-Dec;15(6):752-9. doi: 10.1197/jamia.M2725. Epub 2008 Aug 28.
3
Clinical decision velocity is increased when meta-search filters enhance an evidence retrieval system.
当元搜索过滤器增强证据检索系统时,临床决策速度会提高。
J Am Med Inform Assoc. 2008 Sep-Oct;15(5):638-46. doi: 10.1197/jamia.M2765. Epub 2008 Jun 25.
4
Long-term patterns of online evidence retrieval use in general practice: a 12-month study.全科医疗中在线证据检索使用的长期模式:一项为期12个月的研究。
J Med Internet Res. 2008 Mar 19;10(1):e6. doi: 10.2196/jmir.974.
5
How do clinicians search for and access biomedical literature to answer clinical questions?
Stud Health Technol Inform. 2007;129(Pt 1):152-6.
6
Developing search strategies for clinical practice guidelines in SUMSearch and Google Scholar and assessing their retrieval performance.在SUMSearch和谷歌学术中为临床实践指南制定检索策略并评估其检索性能。
BMC Med Res Methodol. 2007 Jun 30;7:28. doi: 10.1186/1471-2288-7-28.
7
Do people experience cognitive biases while searching for information?人们在搜索信息时会经历认知偏差吗?
J Am Med Inform Assoc. 2007 Sep-Oct;14(5):599-608. doi: 10.1197/jamia.M2411. Epub 2007 Jun 28.
8
Architecture for knowledge-based and federated search of online clinical evidence.基于知识和联合搜索在线临床证据的架构。
J Med Internet Res. 2005 Oct 24;7(5):e52. doi: 10.2196/jmir.7.5.e52.
9
Do online information retrieval systems help experienced clinicians answer clinical questions?在线信息检索系统能帮助经验丰富的临床医生回答临床问题吗?
J Am Med Inform Assoc. 2005 May-Jun;12(3):315-21. doi: 10.1197/jamia.M1717. Epub 2005 Jan 31.
10
General practitioners' use of online evidence during consultations.全科医生在会诊期间对在线证据的使用。
Int J Med Inform. 2005 Jan;74(1):1-12. doi: 10.1016/j.ijmedinf.2004.10.003.