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作为即时解答临床问题来源的医学文献数据库(MEDLINE)

MEDLINE as a source of just-in-time answers to clinical questions.

作者信息

Demner-Fushman Dina, Hauser Susan E, Humphrey Susanne M, Ford Glenn M, Jacobs Joshua L, Thoma George R

机构信息

Lister Hill National Center for Biomedical Communications, National Library of Medicine, NIH, DHHS, Bethesda, MD, USA.

出版信息

AMIA Annu Symp Proc. 2006;2006:190-4.

Abstract

Clinicians increasingly use handheld devices to support evidence-based practice and for clinical decision support. However, support of clinical decisions through information retrieval from MEDLINE(R) and other databases lags behind popular daily activities such as patient information or drug formulary look-up. The objective of the current study is to determine whether relevant information can be retrieved from MEDLINE to answer clinical questions using a handheld device at the point of care. Analysis of search and retrieval results for 108 clinical questions asked by members of clinical teams during 28 daily rounds in a 12-bed intensive care unit confirm MEDLINE as a potentially valuable resource for just-in-time answers to clinical questions. Answers to 93 (86%) questions were found in MEDLINE by two resident physicians using handheld devices. The majority of answers, 88.9% and 97.7% respectively, were found during rounds. Strategies that facilitated timely retrieval of results include using PubMed(R) Clinical Queries and Related Articles, spell check, and organizing retrieval results into topical clusters. Further possible improvements in organization of retrieval results such as automatic semantic clustering and providing patient outcome information along with the titles of the retrieved articles are discussed.

摘要

临床医生越来越多地使用手持设备来支持循证医学实践和临床决策支持。然而,通过从医学文献数据库(MEDLINE)及其他数据库检索信息来支持临床决策,仍落后于诸如患者信息查询或药品处方查询等日常常见活动。本研究的目的是确定在护理现场使用手持设备时,能否从MEDLINE中检索到相关信息以回答临床问题。对一个拥有12张床位的重症监护病房在28次日常查房期间临床团队成员提出的108个临床问题的检索结果分析证实,MEDLINE是一个可为临床问题提供即时答案的潜在宝贵资源。两名住院医师使用手持设备在MEDLINE中找到了93个(86%)问题的答案。大部分答案分别在查房期间找到,比例为88.9%和97.7%。有助于及时检索结果的策略包括使用医学期刊数据库(PubMed)临床查询和相关文章、拼写检查以及将检索结果整理成主题集群。文中还讨论了检索结果组织方面进一步可能的改进,如自动语义聚类以及在检索文章标题的同时提供患者预后信息。

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