AI Solutions to Strengthen Public Health Data Systems for the Management of Infectious Diseases and NCDs in Small Island Developing States
Photo Credit: Unsplash
Overview
Across the Caribbean, critical public health data is locked away in paper records invisible to the AI systems that could help prevent the next epidemic. The AI4D Caribbean Health project, led by [Institution], is changing that by harnessing natural language processing (NLP) to convert decades of handwritten and printed medical records into structured electronic data building the foundation for an AI-powered public health system across the region.
Emerging and re-emerging infectious diseases pose a persistent threat to Caribbean communities, yet the region's public health systems have long struggled with fragmented, paper-based records that make it nearly impossible to detect outbreaks early, allocate resources effectively, or conduct the research needed to protect vulnerable populations. Without accessible, structured clinical data, equitable healthcare remains out of reach for millions.
The project deploys NLP-driven tools to digitise hard-copy medical records at scale, transforming them into accessible, machine-readable data that can inform clinical decision-making and priority health research. Crucially, the team has embedded responsible AI principles throughout prioritising transparency, reproducibility, and ethical data governance to navigate the complex legal and social implications of handling sensitive health information in diverse Caribbean contexts.
The results are already reshaping how the region prepares for and responds to infectious disease threats. By making clinical data visible and actionable, the project is strengthening prevention and preparedness systems, enabling evidence-based policy, and laying the groundwork for equitable healthcare delivery across the Caribbean with a model for responsible AI deployment that other low-resource health systems can follow.