Usability and the Rapid Deployable Infectious Disease Decision Support System
Usability and the Rapid Deployable Infectious Disease Decision Support System
复制标题
可用性和快速部署传染病决策支持系统
DOI：
10.1097/cin.0000000000000654
复制
发表时间：
2020-10-01
影响因子：
1.3
通讯作者：
McBride, Susan
中科院分区：
文献类型：
--
作者：
Hoelscher, Dwayne;McBride, Susan
健康信息技术指导的临床决策支持已证明电子健康记录中的患者安全错误有所减少。未知和重新出现的传染病是许多医疗机构日益关注的问题。该项目的目的是开发一种模块化方法，将传染病临床决策支持的快速部署集成到临床工作流程中，并评估设计的可用性。本文报告了一个质量改进项目的结果，该项目旨在使用结核病用例开发、实施和评估临床决策支持模块的快速部署。从电子健康记录构建与以前的埃博拉和寨卡决策支持警报策略的重要经验教训进行了讨论，作为指导整体设计，实施和评估改进策略的基础。在整个项目中，就电子健康记录的设计和构建考虑事项征求了主题专家的反馈意见。可用性评估是使用经典的任务，用户，表示和功能的电子健康记录可用性的统一框架。供应商和护士的可用性满意度仍然很高。结核病病例预警和预警后减少了诊断研究的订购时间。结果表明，满意的临床医生加上可用的系统创建一个更有效的工作流程，从而更安全，更及时的诊断测试。
Health information technology-guided clinical decision support has demonstrated decreases in patient safety errors in the electronic health record. Unknown and re-emerging infectious diseases are a growing concern for many healthcare facilities. The purpose of this project was to develop a modular approach to integrate rapid deployment of clinical decision support for infectious diseases into the clinical workflow and evaluate the usability of the design. This article reports on the results of a quality improvement project to develop, implement, and evaluate rapid deployment of a clinical decision support module using a tuberculosis use case. Important lessons learned from the electronic health record build with previous Ebola and Zika decision support alert strategy are discussed as foundational in guiding the overall design, implementation, and evaluation of improvement strategies. Subject matter expert feedback was sought throughout the project for electronic health record design and build considerations. Usability evaluation was conducted using the classic Task, User, Representation, and Function unified framework of electronic health record usability. Usability satisfaction for both providers and nurses remained high. Tuberculosis cases pre-alert and post-alert had decreased order times for diagnostic studies. Results suggest satisfied clinicians coupled with usable systems create a more efficient workflow resulting in safer and timelier diagnostic testing.