An analysis of clinical queries in an electronic health record search utility.
An analysis of clinical queries in an electronic health record search utility.
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DOI：
10.1016/j.ijmedinf.2010.03.004
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发表时间：
2010-07
影响因子：
4.9
通讯作者：
Elhadad N
中科院分区：
文献类型：
--
作者：
Natarajan K;Stein D;Jain S;Elhadad N
虽然搜索引擎在网络上几乎无处不在，但电子健康记录 (EHR) 通常缺乏搜索功能；此外，不知道医疗保健提供者在使用基于 EHR 的搜索实用程序时如何搜索以及搜索什么内容。在这项研究中，我们试图了解通过搜索查询捕获的用户需求。这项实施后研究分析了我们大型学术机构基于 EHR 的自由文本搜索实用程序的 6 个月的用户搜索日志文件。搜索日志被去识别化，然后分两步进行分析。首先，两名调查员将所有独特查询分类为导航、事务或信息搜索。其次，三位医生审阅者将 357 条信息搜索的随机样本分类为源自统一医学语言系统 (UMLS) 的高级语义类型。审阅者获得了重叠的数据集，以便两名医生审阅每个查询。我们分析了 436 位唯一用户在 6 个月内执行的 2,207 个查询。在 2,207 个查询中，980 个是唯一查询。该搜索实用程序的用户包括临床医生、研究人员和管理人员。在整个用户群体中，大约 14.5% 的用户搜索是导航搜索，85.1% 是信息搜索。在信息搜索中，我们发现用户主要搜索实验室结果和特定疾病。从临床医生到行政人员，各种用户类型都利用了基于 EHR 的搜索实用程序。尽管这些用户的搜索行为不同，但他们主要进行与实验室结果和特定疾病相关的信息搜索。此外，许多查询是单词的一部分，这意味着任何未来基于概念的搜索算法都需要包含自由文本模块。
While search engines have become nearly ubiquitous on the Web, electronic health records (EHRs) generally lack search functionality; furthermore, there is no knowledge on how and what healthcare providers search while using an EHR-based search utility. In this study, we sought to understand user needs as captured by their search queries. This post-implementation study analyzed user search log files for 6 months from an EHR-based, free-text search utility at our large academic institution. The search logs were de-identified and then analyzed in two steps. First, two investigators classified all the unique queries as navigational, transactional, or informational searches. Second, three physician reviewers categorized a random sample of 357 informational searches into high-level semantic types derived from the Unified Medical Language System (UMLS). The reviewers were given overlapping data sets, such that two physicians reviewed each query. We analyzed 2,207 queries performed by 436 unique users over a 6-month period. Of the 2,207 queries, 980 were unique queries. Users of the search utility included clinicians, researchers and administrative staff. Across the whole user population, approximately 14.5% of the user searches were navigational searches and 85.1% were informational. Within informational searches, we found that users predominantly searched for laboratory results and specific diseases. A variety of user types, ranging from clinicians to administrative staff, took advantage of the EHR-based search utility. Though these users' search behavior differed, they predominantly performed informational searches related to laboratory results and specific diseases. Additionally, a number of queries were part of words, implying the need for a free-text module to be included in any future concept-based search algorithm.
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DOI：
10.1197/jamia.m2233
发表时间：
2007-05-01
影响因子：
6.4
作者：
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通讯作者：
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作者：
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影响因子：
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作者：
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影响因子：
5.6
作者：
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通讯作者：
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DOI：
10.1136/jamia.1996.96413135
发表时间：
1996-07-01
影响因子：
6.4
作者：
Hersh, WR;Brown, KE;Horacek, AE
通讯作者：
Horacek, AE