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

SHB：小型：MindsEye 项目：MindLinc 临床决策支持系统人机界面的开发和评估

• 批准号: 1117286
• 负责人: Javed Mostafa
• 金额: $ 35万
• 依托单位: University of North Carolina at Chapel Hill
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2017-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1117286&HistoricalAwards=false
• 关键词: SHB; Small; Project; MindsEye; Development

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.

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。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人机界面功能，这些功能有可能直接影响护理点治疗并改善对长期疾病患者的护理。建议的一些主要人机界面功能包括：1)用于EHR系统的可视增强的交互功能，例如治疗趋势图和数据指示器；2)以仪表板格式对关键数据元素的患者数据汇总；3)访问与个别患者相关的循证建议；以及4)明确显示共病情况，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视觉分析来处理患者和比较人群的医疗概况数据，以交互可视化(数据视图)的形式生成数据摘要。数据视图将为医生提供基于药物和合并症等关键数据元素过滤患者数据的能力，并将患者治疗趋势与既定的基于证据的指南进行比较，以确定治疗差距和选择。作为可用性评估的一部分，拟议的工作将使最终用户(即护理提供者)直接参与CDS人机界面的需求生成、实施、评估和改进。拟议工作的广泛影响包括通过临床转化科学奖获得者网络(60个学术医学中心)传播结果和调查结果，这些获奖者参与开发新的信息学解决方案，以加快医疗和预防战略的转化。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。