CoPlan: A Trustworthy Co-Intelligence Interface for Care Planning through Role-Based Contestable Argument Graphs· CoPlan：基于角色的可挑战论证图谱的护理计划共智能接口
AI-supported care planning can help clinicians, patients, caregivers, and care teams coordinate complex decisions across clinical, functional, psychosocial, and environmental needs. However, many AI systems present recommendations as fixed outputs, limiting stakeholders' ability to inspect, challenge, and revise plans when they conflict with clinical judgment, patient values, or real-world feasibility. We present CoPlan - a Co-Intelligent and Contestable Interface for Human-AI Care Planning. CoPlan uses a multi-agent workflow in which specialized AI agents generate candidate interventions and supporting or challenging arguments, while human care planners can accept, reject, modify, or add arguments before final plan generation. Through this design, CoPlan combines co-intelligence, in which
AI辅助的护理计划接口，支持多角色协作与论证挑战。
- 核心方法
- 采用多代理工作流程，专门的AI代理生成干预措施及其支持或挑战性论据，人类护理计划者可在最终计划生成前接受、拒绝、修改或添加论据。
- 适合谁读
- 研究者 / 工程师 / 医护人员
- 要解决的问题
- AI系统提供的护理计划推荐通常为固定输出，限制了利益相关者根据临床判断、患者价值观或实际可行性挑战和修订计划的能力。
- 关键实验
- 未提供
- 主要贡献
- 提出了CoPlan，一个可信任的、支持人类与AI协作的护理计划接口，增强了计划的透明性和可辩性。
- 意义与局限
- CoPlan改善了护理计划过程中人类与AI的合作，提高了护理计划的质量和适应性，但可能需要更多的实验证据来支持其有效性。