Lopez Karen Dunn, Febretti Alessandro, Stifter Janet, Johnson Andrew, Wilkie Diana J, Keenan Gail
Assistant Professor, Department of Health Systems Science, College of Nursing, University of Illinois at Chicago, Chicago, Illinois.
Research Associate, Electronic Visualization Laboratory, College of Engineering, College of Nursing, University of Illinois at Chicago, Chicago, Illinois.
Int J Nurs Knowl. 2017 Oct;28(4):211-218. doi: 10.1111/2047-3095.12146. Epub 2016 Jun 24.
To develop methods for rapid and simultaneous design, testing, and management of multiple clinical decision support (CDS) features to aid nurse decision-making.
We used quota sampling, think-aloud and cognitive interviews, and deductive and inductive coding of synchronized audio video data and archival libraries.
Our methods and organizational tools allowed us to rapidly improve the usability, understandability, and usefulness of CDS in a generalizable sample of practicing nurses.
The method outlined allows the rapid integration of nursing terminology based electronic health record data into routine workflow and holds strong potential for improving patient outcomes.
The methods and organizational tools for development of multiple CDS system features can be used to translate knowledge into practice.
开发用于快速同步设计、测试和管理多个临床决策支持(CDS)功能的方法,以辅助护士进行决策。
我们采用配额抽样、出声思考法和认知访谈,以及对同步音频视频数据和档案库进行演绎和归纳编码。
我们的方法和组织工具使我们能够在具有代表性的执业护士样本中迅速提高CDS的可用性、可理解性和实用性。
所概述的方法能够将基于护理术语的电子健康记录数据快速整合到常规工作流程中,并具有改善患者预后的巨大潜力。
开发多个CDS系统功能的方法和组织工具可用于将知识转化为实践。