Commercialization of Graphical Display for Critical Care Environments

重症监护环境图形显示的商业化

• 批准号: 7219921
• 负责人: JAMES AGUTTER
• 金额: $ 35.81万
• 依托单位: APPLIED MEDICAL VISUALIZATIONS, LLC
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-03-01 至 2009-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7219921
• 关键词: Acid-Base Equilibrium; Adverse event; Awareness; Blood gas; Clinical; Clinical Nurse Specialists; Clinical Trials; Cognitive; Compatible; Complex; Comprehension; Computer software; Critical Care; Data; Diagnosis; Early Diagnosis; Effectiveness; Environment; Environmental air flow; Evaluation; Event; Gases; Human; Human Resources; Imagery; Imagination; Injury; Intensive Care Units; Intervention; Learning; Lung; Measures; Mechanics; Medical; Metabolism; Metaphor; Mind; Monitor; Numbers; Nurses; Nursing Students; Online Systems; Outcome; Outcome Measure; Participant; Patients; Performance; Phase; Physicians; Physiology; Play; Process; Programming Languages; Research; Resources; Risk; Role; Series; Simulate; Site; Small Business Funding Mechanisms; Small Business Innovation Research Grant; Supportive care; System; Technology; Testing; Thinking; Time; Universities; Utah; Ventilator; Visual; Work; Workload; base; commercialization; concept; day; design; diagnostic accuracy; improved; information display; instrument; iterative design; next generation; patient safety; prototype; research clinical testing; respiratory; satisfaction; simulation; usability

DESCRIPTION (provided by applicant): The objective of this project is to develop and test information visualization display technology that will aid clinicians in diagnosing and treating unexpected events in critical care environments. Unexpected events occur frequently in the ICU and many are related to missing, inaccurate or misinterpreted information. In a one year study of 1024 patients in an ICU, 241 human errors extended the stay in the ICU by 425 patient days and consumed 15% of the ICU's resources. Critical care clinicians discover critical events earlier and diagnose the events more accurately when data is presented in a graphic display. Preliminary studies found that when a graphic display of arterial blood gas information was used, the visual ABG display was more effective in communicating the status of the pH, PaCo2 and HCO3-values to the user, thus significantly increasing the situational awareness of the user. In addition, the display significantly increased the accuracy of the diagnosis while reducing cognitive workload. Our research plan is to build upon the successful results in phase 1 and extend the display to include more variables to give the clinicians a holistic understanding of the patients gas exchange state. Data-driven visual metaphors will be refined through an iterative design process. Usability testing will guide design enhancements. The resulting display will be implemented in C++ programming language. The utility of the graphic display will be measured using both a realistic patient simulator and a clinical ICU study. Thirty critical care clinicians will be called into a simulated ICU to assess the status of a patient in 4 different scenarios. Performance of the participants in the simulation will be evaluated based on the time to detect a given event, formulate a correct diagnosis, and provide effective supportive care. During the clinical evaluation we will place the new display in the ICU room and observe and record clinician's interventions and actions. Expert evaluators will rank order the performance of the clinicians both with the display and without. In addition, we will use a series of subjective instruments to ascertain information about desirability, perceived effectiveness and utility. This proposed display system has the ability to significantly increase patient safety by reducing the number of errors associated with misinterpretation of this information. In addition, it is anticipated that the new visualization system will have educational impact, as it will provide a clear demonstration and interaction of variables to both novices and experts alike.

描述（由申请人提供）：该项目的目标是开发和测试信息可视化显示技术，以帮助临床医生诊断和治疗重症监护环境中的意外事件。 ICU 中经常发生意外事件，其中许多事件与信息缺失、不准确或误解有关。在一项针对 ICU 1024 名患者进行的为期一年的研究中，241 次人为错误导致 ICU 住院时间延长了 425 个患者天数，并消耗了 15% 的 ICU 资源。当数据以图形显示形式呈现时，重症监护临床医生可以更早地发现危急事件并更准确地诊断事件。初步研究发现，当使用动脉血气信息的图形显示时，视觉ABG显示可以更有效地向用户传达pH、PaCo2和HCO3值的状态，从而显着提高用户的态势感知。此外，显示器显着提高了诊断的准确性，同时减少了认知工作量。我们的研究计划是在第一阶段的成功结果的基础上，扩展显示范围以包含更多变量，以便临床医生全面了解患者的气体交换状态。数据驱动的视觉隐喻将通过迭代设计过程得到完善。可用性测试将指导设计改进。结果显示将用 C++ 编程语言实现。图形显示的实用性将通过真实的患者模拟器和临床 ICU 研究来测量。 30 名重症监护临床医生将被召集到模拟 ICU，以在 4 种不同情况下评估患者的状态。将根据检测给定事件、制定正确诊断并提供有效支持护理的时间来评估模拟参与者的表现。在临床评估过程中，我们将在 ICU 房间放置新显示器，观察并记录临床医生的干预和行动。专家评估员将对临床医生在有显示器和无显示器的情况下的表现进行排名。此外，我们将使用一系列主观工具来确定有关意愿、感知有效性和实用性的信息。所提出的显示系统能够通过减少与误解该信息相关的错误数量来显着提高患者的安全性。此外，预计新的可视化系统将具有教育影响，因为它将为新手和专家提供清晰的变量演示和交互。