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• Existing AI approaches in pharmacy conflate document preservation, semantic interpretation, and contextual presentation, leading to fragilities like loss of provenance and interpretive opacity.technical 95%
• The PATOS–Lector–PRISMA (PLP) infrastructure is proposed as a normative information architecture for responsible pharmaceutical knowledge management.method 95%
• PATOS preserves regulatory documents with explicit versioning and provenance, grounded in the OAIS model.method 90%
• Lector implements machine-assisted reading with human curation to produce typed assertions anchored to primary sources.method 90%
• PRISMA delivers contextual presentation through the RPDA framework, providing distinct professional views.method 90%
• The Evidence Pack is introduced as a formal unit of accountable assertion that is versioned, traceable, epistemically bounded, and curatorially validated.method 95%
• The PLP architecture was developed and validated in Brazil's regulatory context, comprising over 16,000 official documents and 38 curated Evidence Packs.result 90%
• The PLP architecture provides infrastructural conditions lacking in current systems, such as documentary anchoring, interpretive transparency, and institutional accountability.technical 90%
• Existing AI approaches in pharmacy conflate document preservation, semantic interpretation, and contextual presentation, leading to fragilities like loss of provenance and interpretive opacity.technical 95%
• The PATOS–Lector–PRISMA (PLP) infrastructure is proposed as a normative information architecture for responsible pharmaceutical knowledge management.method 95%
• PATOS preserves regulatory documents with explicit versioning and provenance, grounded in the OAIS model.method 90%
• Lector implements machine-assisted reading with human curation to produce typed assertions anchored to primary sources.method 90%

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