The GHPL Digital Repository combines automated document collection, structured policy data, and AI-tools for analysis, appraisal and ultimately policy drafting assistance in one platform.
Key features:
Validated policy sources: built exclusively from official health policy documents and curated metadata
Automated document collection: scalable infrastructure that regularly gathers policy documents from verified sources including government databases
AI-enabled policy summaries: large language model (LLM)-generated concise insights on each policy document, covering objectives, implementation, monitoring, and financing aspects
Cross-country synthesis (under development): explore how governments commonly address pressing health challenges within their settings
Policy document appraisal (under development): Multi AI agent tool to support the evaluation of policy documents against evidence-based guidelines and frameworks
Policy drafting assistant (under development): AI agent assisting policymakers in developing evidence- and best practice-informed policy documents
Officially Launched at the World Health Summit 2025
The GHPL Digital Repository was officially launched in October 2025 at a side event during the World Health Summit.
The event brought together policymakers, researchers, and digital health experts to deliberate how AI-enabled tools can support evidence-informed health policy.
The repository is developed through collaboration between research and technology partners, bringing together expertise in data science and AI engineering, software development, and health policy analysis, and continuously shaped by health policy stakeholders through co-design workshops, training, and feedback-loops.