The state of the art in clinical knowledge management: an inventory of tools and techniques.

The state of the art in clinical knowledge management: an inventory of tools and techniques.
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DOI:
10.1016/j.ijmedinf.2009.09.003
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发表时间:
2010-01
影响因子:
4.9
通讯作者:
Middleton, Blackford
Middleton, Blackford
中科院分区:
医学2区
文献类型:
--
作者:
Sittig, Dean F.;Wright, Adam;Simonaitis, Linas;Carpenter, James D.;Allen, George O.;Doebbeling, Bradley N.;Sirajuddin, Anwar Mohammad;Ash, Joan S.;Middleton, Blackford

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探索对高质量、协作的临床知识管理(CKM)工具和技术的需求和使用,以管理临床决策支持内容。为了更好地了解CKM的现状,我们对潜在的CKM工具和技术进行了调查。我们进行了一项探索性研究,通过询问方便抽样的受访者关于他们在CKM中使用特定做法的情况。对于有意开发成功的基于计算机的提供者订单录入(CPOE)和临床决策支持(CDS)实施的组织来说,以下工具和技术应该是优先考虑的:1)负责创建和维护临床内容的多学科团队;2)具有基于网络的查看器的外部组织临床内容储存库,允许组织中的任何人对其进行审查;3)促进内容开发的在线、协作、交互、基于互联网的工具;4)维护受控临床术语概念的企业范围的工具。即使已成功使用具有高级临床决策支持功能的基于计算机的提供商订单录入超过15年的组织也没有使用我们确定的所有CKM工具或实践。如果我们要进一步刺激临床决策支持领域的进步,我们必须继续发展和完善我们对先进的CKM能力的理解和使用。
To explore the need for, and use of, high-quality, collaborative, clinical knowledge management (CKM) tools and techniques to manage clinical decision support content. In order to better understand the current state of the art in CKM, we developed a survey of potential CKM tools and techniques. We conducted an exploratory study by querying a convenience sample of respondents about their use of specific practices in CKM. The following tools and techniques should be priorities in organizations interested in developing successful computer-based provider order entry (CPOE) and clinical decision support (CDS) implementations: 1) A multidisciplinary team responsible for creating and maintaining the clinical content; 2) An external organizational repository of clinical content with web-based viewer that allows anyone in the organization to review it; 3) An online, collaborative, interactive, internet-based tool to facilitate content development; 4) An enterprise-wide tool to maintain the controlled clinical terminology concepts. Even organizations that have been successfully using Computer-based Provider Order Entry with advanced Clinical Decision Support features for well over 15 years are not using all of the CKM tools or practices that we identified. If we are to further stimulate progress in the area of clinical decision support, we must continue to develop and refine our understanding and use of advanced CKM capabilities.
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