CRII: CHS: Enhancing Patient-Clinician Communication through Self-Monitoring Data Sharing

本研究旨在了解从不断发展的可穿戴传感和移动健康技术中收集的自我监测数据共享的促成因素和障碍。自我监测数据可以很好地衡量日常健康行为，而传统方法（如定期拜访临床医生）往往无法很好地捕捉到这些行为。然而，由于数据共享困难等诸多障碍，自我监测数据在很大程度上未被患者和临床医生充分利用。目前的信息技术不足以让患者轻松地与临床医生分享他们的自我监测数据。基于对当前挑战和设计机会的理解，将设计新的信息技术来帮助患者和临床医生有效地合作和沟通。长期目标是帮助患者成为自己护理的积极观察者和参与者，并协助临床医生利用患者的自我监测数据进行医疗决策。采用以人为本的设计方法，将对患者和临床医生进行观察和访谈，以了解他们目前如何分享自我监测数据。重点将放在变通方法和故障上。基于研究结果，参与式设计和迭代设计方法将确定设计机会，以满足患者和临床医生的数据共享需求。这些努力将在设计轻量级技术探针时达到高潮，这些探针将增强我们对如何将自我监测数据共享纳入医疗保健和临床工作流程的理解。本研究的成功完成将提供：(1)更深入地了解患者和临床医生在个人健康数据共享方面的障碍，以及解决这些障碍的一套功能设计和信息需求；(2)基于参与式和迭代设计方法体现这些需求的轻量级技术探针；(3)对自我监测数据共享的学习接受度探针进行需求评估。这项研究将通过加深我们对如何将可穿戴传感和移动健康技术收集的自我监测数据纳入临床护理的理解，推动人机交互和健康信息学领域的发展。

This research aims to understand the enablers and barriers in sharing self-monitoring data collected from the ever-evolving wearable sensing and mobile health technology. Self-monitoring data can provide good measures of everyday health behavior that are often not well captured by traditional methods such as regular visits to clinicians. However, self-monitoring data is largely underutilized by patients and clinicians due to many obstacles, including difficulty in data sharing. Current information technology is inadequate for patients to easily share their self-monitoring data with clinicians. Based on the understanding of current challenges and design opportunities, novel information technology will be designed for assisting patients and clinicians to effectively collaborate and communicate. The long-term goal is to help patients be active observers and participants in their own care, and assist clinicians leverage patients' self-monitoring data in their medical decision-making. Using human-centered design approaches, observations and interviews will be conducted with patients and clinicians to understand how they currently share self-monitoring data. The focus will be on workarounds and breakdowns. Based on the findings, participatory design and iterative design approaches will identify design opportunities that can meet patients' and clinicians' data sharing needs. These efforts will culminate in the design of lightweight technology probes that enhance our understanding of how self-monitoring data sharing should be incorporated into health care and clinical workflow. Successful completion of this research will provide: (1) a deeper understanding of patients' and clinicians' barriers toward personal health data sharing and a set of functional design and information requirements to address the barriers, (2) light-weight technology probes that embody these requirements based on participatory and iterative design approaches, and (3) a needs assessment with probes for learning receptiveness toward self-monitoring data sharing. This research will advance the field of human-computer interaction and health informatics by deepening our understanding of how self-monitoring data collected from wearable sensing and mobile health technology can be incorporated into clinical care.