CRII: CHS: SCH: Novel User Interfaces for Reporting Personal Health Data to Lay Individuals

CRII：CHS：SCH：用于向非专业人士报告个人健康数据的新颖用户界面

• 批准号: 1464214
• 负责人: Lauren Wilcox
• 金额: $ 17.48万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-04-01 至 2017-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1464214&HistoricalAwards=false
• 关键词: CRII; CHS; SCH; Novel; User

CRII: Novel User Interfaces for Reporting Personal Health Data to Lay Individuals Advances in computing technology now offer individuals unprecedented ways to access personal health data. Such data will reach people in fluctuating emotional states and might deliver information that has life-altering implications. Significant gaps exist in our understanding of how computing systems can expertly report these data to laypeople. This CRII project will align the design of electronic data reporting tools with expert communication strategies and the needs of lay individuals, in the context of oncology care. These tools will be designed to supplement, not replace, individuals' communication with their caregivers. The project will enable the construction of a rich set of data related to communicating personal health information throughout oncological care. After encoding and analyzing the data collected, results of the analysis will be used to formulate design guidelines for interaction techniques and graphical techniques to convey personal health data in a user interface. We expect that the resulting tools will aid cancer patients in managing and acting on personal health data related to cancer diagnosis, treatment and prolonged remission. In addition to the oncology setting, results of the proposed studies should prove beneficial in chronic illness management, particularly for illnesses in which patient engagement with their health data is critical in achieving positive health outcomes. This research focuses on assembling a rich set of quantitative and qualitative data to formally characterize both the technical complexity and emotional sensitivity of clinical data types common to oncology care. These data will be used to define, in subsequent research, the sets of variables, dependencies and structural features of computational models to make possible the development of automated approaches to conveying clinically-relevant health data to lay end users. Studies will be conducted in clinical field sites with oncologists and their patients, using a combination of ethnographic methods and surveys. Data collected through these methods will be iteratively coded and analyzed using descriptive, thematic analyses employing a combination of inductive and deductive approaches. Analyses of these data will uncover specific design guidelines for computing tools that convey personal health data to lay individuals in oncology care. A preliminary design based on these guidelines will be developed and iteratively refined based on input from oncology patients, oncologists, and patient-clinician communication researchers. The resulting design will be embodied in a prototype containing interaction techniques and graphical and linguistic framing techniques that demonstrate expert capability in the presentation of clinically-relevant health data. The prototype system will select framings of example data and demonstrate the interaction and presentation techniques designed. Pilot tests of the prototype will be conducted with a subset of the clinicians recruited in earlier phases of the project as well as individuals with prior experience managing chronic illness, recruited at the study site.

CRII：用于向非专业人士报告个人健康数据的新颖用户界面计算技术的进步现在为个人提供了前所未有的访问个人健康数据的方法。这些数据将传达给处于波动情绪状态的人们，并可能提供具有改变生活影响的信息。我们对计算系统如何专业地向外行人报告这些数据的理解存在重大差距。该 CRII 项目将在肿瘤护理的背景下，将电子数据报告工具的设计与专家沟通策略和非专业人士的需求结合起来。这些工具旨在补充而不是取代个人与其护理人员的沟通。该项目将能够构建与在整个肿瘤护理过程中交流个人健康信息相关的丰富数据集。对收集的数据进行编码和分析后，分析结果将用于制定交互技术和图形技术的设计指南，以在用户界面中传达个人健康数据。我们期望由此产生的工具将帮助癌症患者管理与癌症诊断、治疗和长期缓解相关的个人健康数据并采取行动。除了肿瘤学背景之外，拟议研究的结果应该证明对慢性病管理有益，特别是对于患者参与其健康数据对于实现积极的健康结果至关重要的疾病。这项研究的重点是汇集一组丰富的定量和定性数据，以正式表征肿瘤护理常见临床数据类型的技术复杂性和情感敏感性。这些数据将在后续研究中用于定义计算模型的变量集、依赖关系和结构特征，以便开发自动化方法来向非专业最终用户传递临床相关健康数据。研究将与肿瘤学家及其患者一起在临床现场进行，结合民族志方法和调查。通过这些方法收集的数据将使用归纳和演绎方法相结合的描述性、主题分析进行迭代编码和分析。对这些数据的分析将揭示计算工具的具体设计指南，这些计算工具可将个人健康数据传递给肿瘤护理中的非专业人士。基于这些指南的初步设计将根据肿瘤患者、肿瘤学家和患者与临床医生沟通研究人员的意见进行开发和迭代完善。由此产生的设计将体现在一个包含交互技术以及图形和语言框架技术的原型中，这些技术展示了呈现临床相关健康数据的专家能力。原型系统将选择示例数据框架并演示设计的交互和演示技术。原型的试点测试将由项目早期阶段招募的一部分临床医生以及在研究地点招募的具有慢性病管理经验的个人进行。