Global Symposium on Public Health Policies

Session 1: Policies with High Impact: Design, Prioritisation & Investment

Key Discussion Points 

• Approaches for identifying high-impact public health policy interventions using burden of disease, cost-effectiveness, and equity lenses. 

• Frameworks for prioritising public health investments to maximise population health gains under fiscal and system constraints. 

• Enablers and barriers to accelerating policy implementation, including cross-sectoral coordination and sustainable financing mechanisms. 

• Governance models that reduce time-to-adoption (central, regional, provider-led) 

• What attracts investment? Which initiatives are prioritised? And why? 

• UK–Saudi Arabia comparative analysis 

Expected Outcome: 

Shared understanding of practical tools and criteria for prioritising and investing in high-impact public health policies, supporting faster and more effective policy execution. 

Session 2: Evidence‑Based Policy: From Initiation to Measurable Impact (45 min) 

Key Discussion Points 

• Clinical and real-world evidence 

• Implementation science and impact assessment methodologies 

• Rapid-cycle evaluation approaches 

• “Scale or stop” decision frameworks 

Expected Outcomes 

A consolidated evidence base and impact playbook to guide policy implementation and development, with standardised approaches for monitoring, evaluation, and accountability. 

Session 3: AI & innovation and Behavioural Sciences for NCDs

Innovation and behavioural insights are likely to reshape NCD prevention and management. This session would bring together participants to define priority cases where AI and innovation could enhance preventive services and optimise care delivery, for instance by discussing its potential in diabetes management. Additionally, the discussion would address governance standards that might ensure secure and effective use of health data. 

Key Discussion Points 

• Clinical accountability, safety, and workflow integration 

• Machine learning for risk prediction, targeted prevention, and access optimisation 

• Application of behavioural science to improve policy effectiveness, population adherence, and lifestyle-related risk reduction. 

• Data governance standards for AI deployment