Clinical safety and AI governance in primary care
Format
Other (see below)
Number of participants
Duration
Course overview
- Understanding clinical safety frameworks for AI in NHS settings (DCB0129, DCB0160)
- Identifying and classifying AI tools used in primary care — from triage to diagnostics
- Risk assessment in practice: what to ask before adopting an AI tool
- Accountability, liability, and the role of the clinician in AI-assisted decisions
- Regulatory landscape: MHRA, CQC expectations, and NHS AI guidance
- Building a culture of safe AI adoption: governance structures, reporting, and staff roles.
Format
- Presentation on NHS AI governance frameworks and real-world primary care examples
- Interactive scenario exercise: assessing the safety of three AI tools in a GP setting
- Group discussion: where clinical responsibility lies when AI is involved
- Reflective Q&A: participants share current AI tools in use and governance gaps.
Learning outcomes
- Apply clinical safety standards to the evaluation and governance of AI tools in general practice
- Identify clinical risk factors associated with AI-assisted decision making
- Understand the regulatory environment governing AI in NHS primary care
- Contribute to local governance frameworks for responsible AI adoption
- Maintain professional accountability when using or overseeing AI-enabled clinical tools.
Who should attend
GPs, GP trainers, practice managers, clinical leads, PCN directors, digital transformation leads, primary care clinical safety officers, NHS commissioners.
Cost per session
Pre-training requirement
