Governing AI in Healthcare: Safety, Risk, and Executive Leadership
In this course delivered by DNV and Newton's Tree, explore how to safely and responsibly govern applications of artificial intelligence within healthcare settings using ISO 9001 principles and risk-based thinking.
Lead the responsible adoption of AI in healthcare
Artificial intelligence is rapidly transforming healthcare, creating new opportunities to improve patient care, operational efficiency, decision-making, and organizational performance. As AI becomes more embedded in clinical, administrative, and operational processes, healthcare leaders must also address the associated challenges of governance, accountability, risk management, patient safety, and oversight.
Delivered in collaboration with Newton's Tree, this two-day executive education course provides healthcare leaders with a practical framework for governing AI within a healthcare quality management system. Participants will learn how to identify where AI is used in the organization, establish governance structures, and evaluate risks to support the safe, effective, and responsible use of AI across the organization.
What you'll learn
The course provides healthcare leaders with the knowledge and tools needed to govern AI-enabled technologies through a lens of quality management, patient safety, and risk identification and mitigation. Participants will learn how to:
- Understand the role of executive leadership in governing artificial intelligence within a healthcare quality management system
- Apply ISO 9001 principles to the implementation, oversight, monitoring, and evaluation of AI-enabled technologies
- Identify common clinical, operational, and administrative applications of AI using real-world healthcare examples and case studies
- Evaluate the potential impact of AI on patient safety, quality of care, operational performance, and regulatory compliance
- Apply risk-based thinking to identify, assess, prioritize, and manage AI-related risks
- Establish governance structures, roles, responsibilities, and accountability mechanisms for AI oversight
- Develop organizational policies and processes that promote transparency, accountability, and responsible AI use
- Incorporate AI-related risks, controls, and monitoring activities into an existing healthcare quality management system
- Monitor AI performance using data-driven decision-making and performance measurement principles
- Apply continual improvement methodologies to optimize AI implementation and address emerging risks and opportunities
- Participate in structured workgroup exercises that explore AI use cases, risk levels, oversight requirements, and governance approaches
- Develop an executive action plan for integrating AI governance, patient safety, and risk management practices into their organization
Who is this course for?
The course is designed for healthcare professionals who use or are planning to adopt AI solutions as part of their workflow, or whose work is influenced by AI. This is inclusive of professionals at every level of the organization who are involved in strategic planning, quality, risk management, compliance, clinical delivery, technology adoption, or organizational performance.
Private course option
Organizations may also book a private course to assess the unique AI use cases within their own organization and determine appropriate governance, risk controls, monitoring requirements, and leadership oversight based on ISO 9001 principles.
About Newton's Tree
Newton’s Tree is a global healthcare AI company that enables healthcare providers to select, test, deploy, and monitor in-house and third-party AI products through its enterprise AI orchestration and governance platform.