ABAY-CHR develops AI-powered digital health solutions that transform health data, clinical guidelines, programme documents, and research evidence into practical decision-support tools for health systems.

Our work combines connected health records, retrieval-augmented generation, large language models, agentic AI workflows, clinical decision support, and evidence synthesis methods to support clinicians, public health teams, researchers, programme managers, and policymakers in low-resource and multilingual settings.

Our AI and evidence intelligence capacity includes:

• Large Language Model integration for health knowledge support
• Agentic AI workflows for multi-step health system tasks
• RAG systems
• AI-enabled clinical and public health decision support
• Evidence synthesis and living evidence tools
• Guideline-based health assistants
• Multilingual AI interfaces
• Low-bandwidth and resource-sensitive deployment
• Data governance, privacy, and responsible AI design

Health workers, researchers, and decision-makers often need to navigate large volumes of guidelines, reports, policies, and evidence. ABAY-CHR’s AI solutions help users find, interpret, and apply relevant information faster, while keeping outputs grounded in trusted sources.

ABAY-CHR designs AI tools that are practical, explainable, and adapted to real-world health systems. We focus on human oversight, source-grounded responses, privacy, local context, and sustainable implementation.