Artificial intelligence offers new opportunities to improve decision-making and optimize health services, provided that its implementation is guided by ethical principles, scientific evidence, and a people-centered approach.
Within the framework of the digital transformation of the health sector, artificial intelligence is emerging as a key component for data analysis, knowledge generation, and decision support in increasingly complex and interconnected systems.
Its adoption is part of a broader approach that promotes interoperability, the strategic use of information, and capacity-building across the Region.
At the same time, its implementation raises important challenges. The use of artificial intelligence in public health must aim to maximize its benefits without compromising people’s rights.
This involves ensuring transparency, data protection, equity, and human oversight in automated processes, always with the goal of contributing to more integrated, timely, and trustworthy health systems that promote health and well-being for all people.
Approach and lines of action
We support countries in integrating artificial intelligence into public health by promoting its ethical use, strengthening capacities, and supporting its integration into information systems for health.
Assessment and readiness
Provides insights into the level of readiness for implementing artificial intelligence in health, identifying strengths and gaps in key areas such as governance, data, and technical capacities.
Digital literacy in AI
Strengthens the capacities of health teams to understand, assess, and apply artificial intelligence, promoting its responsible use and supporting decision-making processes.
Technical documentation on AI
Brings together resources and guidance on artificial intelligence in public health, including ethical principles, conceptual frameworks, and experiences to support its implementation.
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