ABSTRACT:
From Chaos to Strategy: Rapid AI Prototyping for Public Health in 60 Minutes Proposal Abstract: This practical workshop aims to transpose the immersive Estratég.IA Thon methodology into the congress environment, focusing on the critical phase of ideation and governance for Digital Health projects. Public sector AI initiatives often fail not due to technical deficiencies, but because of a lack of strategic alignment and data governance. The objective of this session is to empower participants to use visual management tools—specifically the Strategy Canvas and the X-Matrix (Hoshin Kanri)—to transform complex healthcare challenges into viable AI proposals. The methodology is rooted in the "GenerAtivas" project, which designed an AI strategy for elderly care within the Brazilian Unified Health System (SUS). Session Roadmap (60 minutes): Opening & Context (10'): Introduction to the "Strategy Hackathon" method. The core concept: strategy must precede the algorithm. Lightning Challenge (10'): Group formation and selection of a public health problem (e.g., waiting lists or early diagnosis). Ideation with Strategy Canvas (25'): Groups will complete a simplified canvas focused on four pillars: AI Product, Data Infrastructure (Interoperability), Governance/Ethics, and User Value. Feasibility Pitch (15'): Each group presents its solution. Facilitators act as a "Governance Committee," testing the ethical robustness and scalability of the proposal. Expected Outcomes: By the end of the session, participants will have understood how to integrate AI into public health policies in a structured manner, ensuring that technology achieves superior results compared to analog models while respecting data sovereignty and clinical ethics.