Medical Data Pecking uses LLM-generated, literature-grounded tests to audit EHRs for semantic gaps, flagging discrepancies between observed data and epidemiological priors.
Use of Artificial Intelligence in the Search for New Information Through Routine Laboratory Tests: Systematic Review
1 Pith paper cite this work, alongside 8 external citations. Polarity classification is still indexing.
1
Pith paper citing it
8
external citations · OpenAlex
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
A Generative Approach for Semantic Auditing of Electronic Health Records
Medical Data Pecking uses LLM-generated, literature-grounded tests to audit EHRs for semantic gaps, flagging discrepancies between observed data and epidemiological priors.