Health systems face rising fiscal pressures due to demographic shifts, expanding benefit packages, and constrained public financing. Achieving value for money - maximizing outcomes per unit of expenditure - has become central to health financing reforms. AI and digital health technologies offer opportunities to improve efficiency, optimize resource allocation, strengthen strategic purchasing, enhance fraud detection, improve supply chain management, and support value-based payment models. For LMICs with fragmented financing and limited fiscal space, digital ecosystems can improve targeting, transparency, and coordinated service delivery. However, integration requires robust governance frameworks addressing privacy, ethics, algorithmic transparency, cost-effectiveness evidence, and workforce capacity. This session explores how AI can reshape financing architecture while safeguarding equity and accountability.
Examine AI’s role in strengthening health financing functions.
Explore evidence of efficiency gains and cost optimization.
Discuss governance, regulatory, and ethical considerations.
Identify policy priorities for scalable and equitable AI adoption.
Generate actionable recommendations for integrating AI into financing systems.
Senior Health Financing Advisor, World Health Organization
CEO, General Insurance Council
Senior Program Officer - Development Policy and Finance, Gates Foundation
Managing Partner, MicroSave Consulting
Global Director - Health Systems Research and Policy, ACCESS Health International