ALGORITHMS THAT GOVERN CARE: ARTIFICIAL INTELLIGENCE, MANAGEMENT AND TERRITORIES IN PUBLIC HEALTH SYSTEMS
DOI:
https://doi.org/10.56238/revgeov17n2-121Keywords:
Artificial Intelligence, Health Management, Territory, Governance, Unified Health SystemAbstract
Background: The incorporation of artificial intelligence (AI) into public health systems has expanded its role in management, planning, and decision-making, shaping new modes of governing care. Objective: To critically analyze scientific and policy literature on the use of AI in health management, emphasizing ethical, organizational, and territorial implications in public health systems. Methods: A critical narrative review with a qualitative approach, based on data triangulation from scientific literature, policy documents, and secondary empirical studies, using thematic analysis. Results: Four analytical axes emerged: (1) AI as a decision-support technology; (2) reconfiguration of health work and management; (3) ethical and social implications of algorithmic management; and (4) governance and regulatory challenges in territorial contexts. Conclusion: AI may enhance care management if framed by ethical governance, state regulation, algorithmic transparency, and sensitivity to territorial inequalities, aligned with SUS principles.
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