More About this Workshop

Generative AI is rapidly transforming health research and practice, yet many researchers remain limited to prompt-based, ad hoc use. Moving from experimentation to scalable, research-grade applications requires new workflows, technical understanding, and methodological rigor.

This interactive workshop is designed to introduce practical approaches for integrating generative AI into health informatics research. The session is expected to explore how AI may support and semi-automate key tasks, including literature screening, metadata extraction, feature engineering, qualitative coding, and knowledge synthesis. Through examples and guided discussions, the workshop aims to highlight emerging workflows that combine human expertise with AI-driven automation while maintaining transparency and responsible use.

In addition to technical applications, the workshop is expected to consider issues such as bias, evaluation, and human-in-the-loop validation, with the goal of helping participants move beyond prompting toward more scalable and rigorous practices.