Patient safety in guideline-based decision support for hypertension management: ATHENA DSS
Patient safety in guideline-based decision support for hypertension management: ATHENA DSS
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DOI：
10.1197/jamia.m1218
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发表时间：
2002-11-01
影响因子：
6.4
通讯作者：
Musen, MA
中科院分区：
文献类型：
--
作者：
Goldstein, MK;Hoffman, BB;Musen, MA
医学研究所最近发布了一份关于医疗差错的里程碑式的报告。(1)在这份报告的模糊部分，医疗保健的每一个方面都受到了关于患者安全的新的审查。信息学技术可以通过纠正旧技术固有的问题来支持患者的安全；然而，新的信息技术也可能导致新的错误来源。我们在这里报告了在部署一个旨在给出基于指南的处方药物建议的系统时可能出现的错误的分类，一种在自动指南系统中预测这些错误的方法，以及设计功能以将错误降至最低，从而使患者安全最大化。我们的指南实施系统基于EON架构，为知识库提供了一个框架，该知识库足够全面，可以纳入安全信息，并且可以很容易地由临床医生-专家审查和更新。
The Institute of Medicine recently issued a landmark report on medical error.(1) In the penumbra of this report, every aspect of health care is subject to new scrutiny regarding patient safety. Informatics technology can support patient safety by correcting problems inherent in older technology; however, new information technology can also contribute to new sources of error. We report here a categorization of possible errors that may arise in deploying a system designed to give guideline-based advice on prescribing drugs, an approach to anticipating these errors in an automated guideline system, and design features to minimize errors and thereby maximize patient safety. Our guideline implementation system, based on the EON architecture, provides a framework for a knowledge base that is sufficiently comprehensive to incorporate safety information, and that is easily reviewed and updated by clinician-experts.