Clinical Decision Support Simulations for Medication Administration Safety

药物管理安全的临床决策支持模拟

• 批准号: 7236299
• 负责人: JACQUELINE A MOSS
• 金额: $ 22.16万
• 依托单位: UNIVERSITY OF ALABAMA AT BIRMINGHAM
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-09-30 至 2008-09-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7236299
• 关键词: clinical research; computer assisted medical decision making; computer assisted patient care; computer simulation; computer system design /evaluation; cooperative study; drug administration rate /duration; handbook; health services research tag; human subject; intensive care; interdisciplinary collaboration; nurse performance; patient safety /medical error

DESCRIPTION (AS PROVIDED BY APPLICANT): The overall aim of this study is to develop clinical decision support system design tools to decrease the incidence of medication administration errors. While clinical decision support systems can potentially decrease a variety of medical errors, they are often difficult to integrate into the clinical workflow. In part this is because end users asked for input into systems design cannot always articulate how the tools will work in the actual environment. To improve the decision support design process, we will develop a simulated system that includes the relevant and realistic elements of the actual clinical environment and will use teams of nurses to test its applicability to real-world settings. Nurses are at the sharp end of the medication administration process and it is these errors that can result in the direst consequences. They are also errors that CPOE alone is unlikely to reduce and it is these medication administration errors that we are targeting in this project. The outcomes of this project will include an exportable, contextually sensitive systems analysis tool to aid in the design of decision support for nursing medication administration. The specific aims of this study are to: 1. Modify a simulated clinical information system to include a suite of decision support tools for medication administration within intensive care. 2. Engage teams of intensive care unit nurses to identify how these tools can be customized for optimal decision support within their clinical environment 3. Design supporting materials to accompany the resulting decision support tools and simulated information system for their use as a contextually sensitive system analysis tool for general use. Relevance: It is estimated that adverse drug events (ADEs), resulting in injury or death, affect more than 770,000 people annually. Many of these errors occur during the administration of medications and can be prevented if nurses are provided with medication administration decision support at the right time and in the right format. This study will provide hospitals with the tools to conduct simulations for the design of computerized decision support for nurses during medication administration.

描述（如申请人提供）：本研究的总体目的是开发临床决策支持系统设计工具，以减少药物管理错误的发生率。尽管临床决策支持系统可能会减少各种医疗错误，但通常很难将它们整合到临床工作流程中。这部分是因为最终用户要求对系统设计的输入，不能总是阐明工具如何在实际环境中工作。为了改善决策支持设计过程，我们将开发一个模拟系统，其中包括实际临床环境的相关和现实要素，并将使用护士团队来测试其对现实世界中的适用性。护士处于药物管理过程的急剧状态，正是这些错误可能导致最肮脏的后果。这也是错误的错误，即仅CPOE不太可能减少，而这些药物管理错误是我们在该项目中的目标。该项目的结果将包括可导出的，上下文敏感的系统分析工具，以帮助设计护理药物管理的决策支持。这项研究的具体目的是：1。修改模拟的临床信息系统，在重症监护室内包括一套用于药物管理的决策支持工具。 2.让重症监护病房护士团队确定如何定制这些工具以在其临床环境中进行最佳决策支持3.设计支持材料以伴随由此产生的决策支持工具和模拟信息系统，以用作其作为上下文敏感的系统分析工具，以供一般使用。相关性：据估计，导致伤害或死亡的不良毒品事件（ADE）每年会影响超过770,000人。这些错误中有许多发生在药物管理期间，如果在正确的时间和正确的格式为护士提供药物管理决策支持，则可以预防。这项研究将为医院提供模拟在药物管理期间为护士设计计算机决策支持的工具。