Observational analysis identifies improved fraud detection and secure access for healthcare datasets, suggesting RAG systems enhance data reuse.
This study explores secure and intelligent curation of digital scientific data using Retrieval-Augmented Generation (RAG) systems. Focusing on privacy-preserving approaches and reuse of structured healthcare datasets, we propose models for fraud detection, enhancing semantic interpretation, personalization, and secure access to digital knowledge assets in critical sectors.
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Murthy et al. (2025) studied this question.
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