Raine Todd, Thoma Brent, Chan Teresa M, Lin Michelle
Department of Emergency Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Learning Laboratory and Division of Medical Simulation, Department of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Emerg Med Australas. 2015 Aug;27(4):363-5. doi: 10.1111/1742-6723.12404. Epub 2015 May 4.
The number of online resources read by and pertinent to clinicians has increased dramatically. However, most healthcare professionals still use mainstream search engines as their primary port of entry to the resources on the Internet. These search engines use algorithms that do not make it easy to find clinician-oriented resources. FOAMSearch, a custom search engine (CSE), was developed to find relevant, high-quality online resources for emergency medicine and critical care (EMCC) clinicians. Using Google™ algorithms, it searches a vetted list of >300 blogs, podcasts, wikis, knowledge translation tools, clinical decision support tools and medical journals. Utilisation has increased progressively to >3000 users/month since its launch in 2011. Further study of the role of CSEs to find medical resources is needed, and it might be possible to develop similar CSEs for other areas of medicine.
临床医生阅读的以及与临床医生相关的在线资源数量急剧增加。然而，大多数医疗保健专业人员仍将主流搜索引擎作为他们访问互联网资源的主要入口。这些搜索引擎使用的算法使得查找面向临床医生的资源并不容易。为急诊医学和重症监护（EMCC）临床医生查找相关的高质量在线资源而开发了一种定制搜索引擎（CSE）——FOAMSearch。它使用谷歌™算法搜索经过审核的300多个博客、播客、维基、知识转化工具、临床决策支持工具和医学期刊列表。自2011年推出以来，其使用率已逐步提高到每月超过3000用户。需要进一步研究CSE在查找医学资源方面的作用，并且有可能为其他医学领域开发类似的CSE。
