The adoption of artificial intelligence in public health requires assessing institutional capacities, governance, infrastructure, and readiness for its responsible implementation.
The PAHO Readiness Assessment Tool for Artificial Intelligence in Public Health helps identify strengths, gaps, and opportunities to support the adoption of artificial intelligence within health systems.
The approach proposes a comprehensive assessment that considers aspects related to governance, digital infrastructure, technical capacities, data management, regulation, ethics, and institutional readiness for the responsible use of emerging technologies.
What does the tool assess?
The tool makes it possible to analyze different dimensions that influence the readiness of countries and institutions to responsibly, safely, and sustainably adopt artificial intelligence in public health.
Governance and leadership
Assesses institutional capacity to define priorities, coordinate stakeholders, and guide policies related to artificial intelligence in health.
Infrastructure and technology
Considers the availability of digital infrastructure, connectivity, interoperability, and technological capacities needed to implement AI solutions.
Data and information management
Analyzes the quality, availability, protection, and governance of the data required for the development and use of artificial intelligence in health.
Capabilities and human talent
Identifies technical skills, professional profiles, and institutional capacities needed to design, implement, and oversee AI solutions.
Ethics and regulation
Reviews the existence of regulatory frameworks, transparency mechanisms, data protection, equity, and human oversight.
Implementation and sustainability
Assesses the conditions required to integrate artificial intelligence solutions into real health system processes and sustain them over time.
Readiness levels
The tool helps identify different levels of institutional readiness to adopt artificial intelligence in public health, supporting action planning and the progressive strengthening of capacities.
Initial
Institutional and technological capacities are limited. Challenges exist in governance, infrastructure, data, and human resources.
Developing
Partial progress is observed in digital transformation, data management, and the definition of institutional AI frameworks.
Advanced
The institution has more consolidated capacities in infrastructure, governance, and the strategic use of data for AI solutions.
Consolidated
Artificial intelligence is sustainably integrated into public health processes through ethical, interoperable, and people-centered approaches.
How to use the tool?
The tool is designed to support institutional assessment and planning processes related to the adoption of artificial intelligence in public health. Its application helps identify existing capacities, recognize gaps, and prioritize strengthening actions.
Review dimensions
Analyze the areas included in the assessment and the associated criteria.
Complete assessment
Identify institutional strengths and challenges related to AI.
Identify gaps
Recognize priority areas to strengthen capacities and processes.
Prioritize actions
Define lines of work to advance readiness and governance.
Plan implementation
Guide sustainable processes for integrating AI into public health.