AI RESEARCH
PRISMA: Toward a Normative Information Infrastructure for Responsible Pharmaceutical Knowledge Management
arXiv CS.AI
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ArXi:2603.26324v1 Announce Type: cross Most existing approaches to AI in pharmacy collapse three epistemologically distinct operations into a single technical layer: document preservation, semantic interpretation, and contextual presentation. This conflation is a root cause of recurring fragilities including loss of provenance, interpretive opacity, alert fatigue, and erosion of accountability. This paper proposes the PATOS--Lector--PRISMA (PLP) infrastructure as a normative information architecture for responsible pharmaceutical knowledge management.