Foundation Agents Meet Agentic Deep Research: Evidence-Grounded Clinical Code Forecasting
Bridging EHR temporal analysis with agentic research workflows to improve diagnostic accuracy and clinical transparency.
Next-encounter ICD forecasting predicts which standardized diagnosis codes will be documented at a future visit from the longitudinal record available beforehand. The task is prospective and multi-label: the target note does not yet exist, and several codes may be correct. Struct...
ArXiv CS.CL
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This research signifies a paradigm shift in clinical decision support by replacing static prediction models with agentic workflows that synthesize EHR longitudinal data with real-time medical evidence. By grounding ICD code forecasting in document retrieval and expert-validated reasoning, it bridges the gap between predictive accuracy and clinical interpretability.
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