Boles Katrina K, Young Lisa, Emezue Chuka, Lee Knoo, Popejoy Lori, Reeder Blaine
Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA.
Sinclair School of Nursing, University of Missouri, Columbia, MO, USA.
AMIA Annu Symp Proc. 2025 May 22;2024:182-191. eCollection 2024.
Remote interventionists in the novel ASSETs for Aging in Place demonstration project rely on smart home and wearable sensor data to understand daily behavior patterns of older adult clients discharged from nursing homes to the community and to inform coaching during telehealth visits to help clients self-manage personal goals for health and independence. We employed contextual inquiry during design of the interventionist dashboard to support the new ASSETs program. Focus groups with interventionists and leadership characterized themes for primary dashboard goals, interface and technology needs, and data collection expectations. Four contextual inquiry sessions with interventionists characterized user goals, barriers, and standardized user workflows. We articulated a sequential discovery process for user requirements that can be replicated in dashboard design for future remote service delivery programs that will rely on sensor data and telehealth visits.
在新颖的“就地养老资产”示范项目中，远程干预人员依靠智能家居和可穿戴传感器数据来了解从疗养院出院到社区的老年客户的日常行为模式，并在远程医疗访问期间提供指导，以帮助客户自我管理健康和独立的个人目标。我们在干预人员仪表板的设计过程中采用了情境探究法，以支持新的“就地养老资产”项目。与干预人员和领导层进行的焦点小组讨论确定了仪表板主要目标、界面和技术需求以及数据收集期望的主题。与干预人员进行的四次情境探究会议确定了用户目标、障碍和标准化的用户工作流程。我们阐述了一个用于用户需求的顺序发现过程，该过程可在未来依赖传感器数据和远程医疗访问的远程服务提供项目的仪表板设计中复制。
