SOURCE-LINKED INTELLIGENCE

Review Before Trust: Source-Grounded Integrity Gates for AI-Assisted Personal Health Records

arXiv · AI, language, vision and robotics · article · Aug 30, 2026 · UTC

Large language models can convert medical documents into structured data, but plausible output may still be unsupported by the source. Persisting such output in a longitudinal health record, a record that accumulates patient information over time, therefore creates an integrity risk: unverified data may influence later summaries, trends, or preventive-care computations. We introduce an evidence-gated trust-promotion model that keeps generated data provisional until a deterministic monitor verifies it against the source document. The monitor admits a candidate for a specified downstream use onl

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