AI 支持的护理规划可以帮助临床医生, 患者, 护理人员, 和护理团队协调临床, 功能, 社会心理, 和环境需求的复杂决策。然而,许多人工智能系统将建议作为固定输出,限制利益相关者'检查,挑战,并在与临床判断,患者价值,或现实世界可行性相冲突时修改计划的能力。我们推出 CoPlan - 一个用于人类人工智能护理规划的联合智能且可竞争的界面。 CoPlan 使用多代理工作流程，其中专门的 AI 代理生成候选干预措施以及支持或质疑参数,，而人类护理规划人员可以在最终计划生成之前接受,、拒绝, 修改, 或添加参数。通过这种设计, CoPlan 将协同智能, 与人类和人工智能代理贡献互补的专业知识, 与可竞争性, 相结合，其中建议仍然可供检查, 修订, 和理由。我们在居家养老护理规划场景中演示了 CoPlan。该系统支持自适应护理团队招募, 基于角色的论证审查, 最终护理计划生成, 以及通过调度代理的实际后续行动。这项工作提供了一个有争议的护理规划界面和一个可信赖的人类人工智能护理规划的设计框架，保留了人类机构和临床责任。
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 humans and AI agents contribute complementary expertise, with contestability, where recommendations remain open to inspection, revision, and justification. We demonstrate CoPlan in an aging-in-place care planning scenario. The system supports adaptive care team recruitment, role-based argument review, final care plan generation, and practical follow-up through scheduling agents. This work contributes a contestable care planning interface and a design framing for trustworthy human-AI care planning that preserves human agency and clinical accountability.
科目: 人工智能 (cs.AI); 多代理系统 (cs.MA); 软件工程 (cs.SE)
Subjects: Artificial Intelligence (cs.AI); Multiagent Systems (cs.MA); Software Engineering (cs.SE)