Governance Framework
The hospital has established an Artificial Intelligence Management Committee responsible for reviewing AI technology adoption assessments, formulating management regulations, and overseeing operations to ensure that AI applications comply with medical ethics and regulatory requirements.
Transparency and Disclosure
All AI systems adopted by this hospital disclose their operational logic, training data sources, and applicable scope, providing users with sufficient information to ensure transparency and explainability in AI-assisted decision-making.
Lifecycle Management
A comprehensive AI system lifecycle management mechanism has been established, covering all stages from requirements assessment, development and validation, clinical testing, formal deployment, continuous monitoring, to decommissioning, ensuring system performance and safety.
Responsible AI
The hospital prioritizes fairness and reliability in AI applications, establishing bias detection, performance validation, and compliance review mechanisms. Regular testing and calibration using local data are conducted to maintain model accuracy and applicability.
Certification and Standards
The hospital follows the ISO 42001 AI Management System standard to build its AI governance framework, continuously monitoring the development of domestic and international AI healthcare application regulations to refine its AI governance system.
