21 lines
1.8 KiB
JSON
21 lines
1.8 KiB
JSON
{
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"title": "\"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",
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"authors": [
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"Shihan Fu",
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"Bingsheng Yao",
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"Smit Desai",
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"Yuqi Hu",
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"Yuling Sun",
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"Samantha Stonbraker",
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"Yanjun Gao",
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"Elizabeth M. Goldberg",
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"Dakuo Wang"
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],
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"abstract": "Older adult patients constitute a rapidly growing subgroup of Intensive Care\nUnit (ICU) patients. In these situations, their family caregivers are expected\nto represent the unconscious patients to access and interpret patients' medical\ninformation. However, caregivers currently have to rely on overloaded\nclinicians for information updates and typically lack the health literacy to\nunderstand complex medical information. Our project aims to explore the\ninformation needs of caregivers of ICU older adult patients, from which we can\npropose design opportunities to guide future AI systems. The project begins\nwith formative interviews with 11 caregivers to identify their challenges in\naccessing and interpreting medical information; From these findings, we then\nsynthesize design requirements and propose an AI system prototype to cope with\ncaregivers' challenges. The system prototype has two key features: a timeline\nvisualization to show the AI extracted and summarized older adult patients' key\nmedical events; and an LLM-based chatbot to provide context-aware informational\nsupport. We conclude our paper by reporting on the follow-up user evaluation of\nthe system and discussing future AI-based systems for ICU caregivers of older\nadults.",
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"pdf_url": "http://arxiv.org/pdf/2502.05115v1",
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"entry_id": "http://arxiv.org/abs/2502.05115v1",
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"categories": [
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"cs.HC",
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"cs.AI"
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]
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} |