"It Felt Like I Was Left in the Dark": Exploring Information Needs and Design Opportunities for Family Caregivers of Older Adult Patients in Critical Care Settings
Shihan Fu, Bingsheng Yao, Smit Desai, Yuqi Hu, Yuling Sun, Samantha Stonbraker, Yanjun Gao, Elizabeth M. Goldberg, Dakuo Wang

TL;DR
This paper explores the information needs of ICU caregivers for older adults, identifying challenges and proposing an AI system with visualization and chatbot features to improve information access and understanding.
Contribution
It introduces a novel AI system prototype with visualization and chatbot functionalities tailored for ICU caregivers of older adults, based on formative interviews.
Findings
Caregivers face challenges in accessing and understanding medical information.
The proposed AI system improves information visualization and support.
Caregivers found the prototype helpful in understanding patient medical events.
Abstract
Older adult patients constitute a rapidly growing subgroup of Intensive Care Unit (ICU) patients. In these situations, their family caregivers are expected to represent the unconscious patients to access and interpret patients' medical information. However, caregivers currently have to rely on overloaded clinicians for information updates and typically lack the health literacy to understand complex medical information. Our project aims to explore the information needs of caregivers of ICU older adult patients, from which we can propose design opportunities to guide future AI systems. The project begins with formative interviews with 11 caregivers to identify their challenges in accessing and interpreting medical information; From these findings, we then synthesize design requirements and propose an AI system prototype to cope with caregivers' challenges. The system prototype has two key…
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Taxonomy
TopicsTechnology Use by Older Adults · Family and Patient Care in Intensive Care Units · Geriatric Care and Nursing Homes
