Exploring the design and development of patient data visualizations on shared displays

这项研究的重点是通过使用创新的信息可视化系统来审查和分析患者的健康数据，从而增强患者和医疗保健提供者的能力。 在临床访问期间，患者和医疗保健提供者需要讨论大量数据。然而，缺乏有效支持讨论患者健康数据的技术系统。为了填补这一空白，我的研究重点是通过以下方式为患者和医疗保健提供者提供支持：1）设计和开发可视化系统，以支持共享和审查患者健康数据的过程; 2）将这些可视化集成到加拿大的医疗保健系统中。医疗保健提供者需要在临床访问期间与患者讨论大量信息。此外，患者有时会收集他们的健康数据并将其数据带到诊所，期望医疗保健提供者审查并理解这些数据。共享自我收集的数据最近变得更加重要，因为许多临床访问现在是虚拟的，个人健康数据可视化是虚拟咨询中的宝贵信息来源。在加拿大，医疗咨询的平均时间为10至20分钟。因此，没有足够的时间来审查、分析和讨论所有患者数据。可视化患者医疗数据可能是一种潜在的解决方案，因为可视化可以准确地总结数据并显示异常值、模式和趋势。 然而，要在临床访视期间显示患者数据可视化并与之交互，我们需要合适的技术。共享显示可以促进数据审查和协作数据分析。这可能会扩展到共享表面和/或平板电脑。因此，在可共享表面上设计和开发可视化可能有助于在患者-提供者咨询期间共同审查和共同分析患者医疗数据。 我和我的团队将探索如何在共享界面上设计、开发和评估创新的交互式数据可视化，以支持医疗服务提供者和患者在临床访视期间（无论是面对面还是虚拟）共享、协作审查和分析医疗信息。此外，我们的研究将探讨在临床室共享表面上实施可视化系统的技术影响，并将交互式患者数据可视化部署到加拿大医疗保健系统中。本研究计划中开发的创新交互式患者数据可视化系统将有可能提供在诊所中患者和医疗保健提供者之间建立有效的数据驱动通信的手段。

This research focuses on empowering patients and healthcare providers by using innovative information visualization systems to review and analyze patients' health data. During a clinical visit, patients and healthcare providers need to discuss a large amount of data. However, there is a lack of technological systems to effectively support discussing patient health data. To fill this gap, my research focuses on empowering patients and healthcare providers by 1) designing and developing visualization systems to support the process of sharing and reviewing patient health data and 2) integrating these visualizations into the Canadian healthcare systems. Healthcare providers need to discuss a large amount of information with patients during a clinical visit. In addition, patients sometimes collect their health data and bring their data to the clinic, expecting the healthcare providers to review and make sense of these data. Sharing self-collected data has recently become even more crucial since many clinical visits are now virtual, and personal health data visualizations are a valuable source of information in virtual consultations. In Canada, the average length of medical consultations is between 10 to 20 minutes. As a result, there is not enough time to review, analyze, and discuss all the patient data. Visualizing patient medical data may be a potential solution since visualization can accurately summarize data and display outliers, patterns, and trends. However, to display and interact with patient data visualizations during clinical visits, we need the right technology. A shared display can facilitate data reviewing and collaborative data analysis. This might extend to shared surfaces and/or tablets. Thus, designing and developing visualizations on sharable surfaces potentially may facilitate co-reviewing and co-analyzing patient medical data during patient-provider consultations. My team and I will explore how to design, develop, and evaluate innovative interactive data visualizations on shared surfaces supporting healthcare providers and patients to share, collaboratively review, and analyze medical information during clinical visits, whether in-person or virtual. Additionally, our research will explore the technical implications of implementing visualizations systems on shared surfaces in clinical rooms and inform the deployment of interactive patient data visualizations into the Canadian healthcare systems. The innovative interactive patient data visualization systems that will be developed in this research program will have the potential to provide the means to establish effective data-driven communication between patients and healthcare providers in clinics.