PRISMA: Toward a Normative Information Infrastructure for Responsible Pharmaceutical Knowledge Management
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. PATOS preserves regulatory documents with explicit versioning and provenance; Lector implements machine-assisted reading with human curation, producing typed assertions anchored ...
| Authors | Eugenio Rodrigo Zimmer Neves, Amanda Vanon Correa, Camila Campioni et al. |
|---|---|
| Primary category | cs.DL |
| Published | 27 March 2026 |
| Last updated at source | 27 March 2026 |
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