The CANOE (Contestable Argumentative Network-of-Experts) framework is a multi-agent neuro-symbolic framework designed to address the challenges of care plan coordination. It consists of five modules: complexity assessment, adaptive team recruitment, role-based argumentative computation, human-in-the-loop contestation, and care-plan synthesis. The framework's strengths lie in its adaptability and interpretability, allowing for dynamic adjustments based on real-world situations and providing a human-in-the-loop contestation mechanism to ensure the safety and effectiveness of care plans. Experimental results demonstrate that the CANOE framework outperforms other methods on the Discharge Me! and MedicalRAG datasets, particularly in terms of clinical correctness and safety. Blogger's Review: The introduction of the CANOE framework provides a new perspective on care plan coordination, with its adaptability and interpretability being its greatest advantages. Further exploration of its applications in other fields is warranted in the future.