SHB: Small: Project MindsEye: Development and Evaluation of a Human Computer Interface for the MindLinc Clinical Decision Support System

充分利用电子健康记录（EHR）系统的一个关键障碍是人机界面（HCI）。该项目的核心目标是为临床决策支持（CDS）系统设计、实施和评估几个新的HCI功能，这些功能有可能直接影响床旁治疗并改善长期患病患者的护理。提出的一些主要HCI功能包括：1）EHR系统的视觉增强交互功能，如治疗趋势图和数据指标，2）仪表板格式的关键数据元素的患者数据摘要，3）访问与个体患者相关的循证建议，以及4）明确显示合并症，以鼓励在常规患者护理的背景下进行审查和分析。 拟议的工作将探索使用可视化分析来处理患者和比较人群的医疗概况数据，以交互式可视化（数据视图）的形式生成数据摘要。数据视图的设计将使医生能够根据关键数据元素（如药物和合并症）过滤患者数据，并将患者治疗趋势与既定循证指南进行比较，以确定治疗差距和选择。作为可用性评估的一部分，拟议工作将吸引最终用户（即，护理提供者）直接参与CDS HCI的需求生成、实施、评估和细化。 拟议工作的广泛影响包括通过临床转化科学获奖者网络（60个学术医疗中心）传播成果和发现，这些获奖者参与开发新的信息学解决方案，以加速医学治疗和预防策略的转化。 此外，MindsEye软件将与适当的文件一起分发，以促进卫生信息技术教育和培训，并促进实际的信息技术参与和新的研究活动。

A critical impediment to taking full advantage of electronic health record (EHR) systems is the human computer interface (HCI). The project's core aim is to design, implement, and evaluate several new HCI features for clinical decision support (CDS) systems that have the potential for directly impacting point-of-care treatment and improving care for patients suffering from long-term illness. Some of the primary HCI features proposed include: 1) Visually enhanced interactive functions for EHR systems such as treatment trend maps and data indicators, 2) Patient data summary of critical data elements in a dashboard format, 3) Access to evidence-based recommendations relevant to individual patients, and, 4) Display of co-morbid conditions explicitly to encourage review and analysis in the context of routine patient care. The proposed work will explore the use of visual analytics to process patient and comparative population medical profile data to generate data summaries in the form of interactive visualizations (data views). The data views will be designed to provide physicians with the capability to filter patient data based on key data elements such as medications and co-morbid conditions, and to compare patient treatment trends with established evidence-based guidelines to identify treatment gaps and options. As part of the usability evaluation, the proposed work will engage end-users (i.e., care providers) directly in requirement generation, implementation, evaluation, and refinement of the CDS HCI. The broad impact of the proposed work include disseminating the outcome and findings through the network of Clinical Translational Science Awardees (60 academic medical centers) that are involved in developing novel informatics solutions to accelerate the translation of medical treatments and prevention strategies. Additionally, the MindsEye software will be distributed with appropriate documentation to contribute to health IT education and training and to spur practical IT engagements and new research activities.