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. Structured EHR foundation models capture recur...
Junda Wang, Meysam Ghaffari, Akshat Choube et al.· 0 citations
Large language model (LLM) agents that reason over clinical records must track changes in a patient's state while preserving the history needed to understand them. Simply accumulating memories leaves it unclear which information still applies, whereas overwriting earlier memories can erase evidence needed to reconstruc...
Maryam Haghifam, Zahra Rajabi, Yi-Zhou Sun et al.· 0 citations
MedNotes is a multi-agent synthetic data generation pipeline that converts longitudinal structured EHR into source-grounded clinical note representations under explicit quality control and improves downstream CPT prediction and paragraph-level section prediction when combined with limited real data.
Nina Fatehi, Reihaneh Hassanzadeh, Meysam Ghaffari et al.· 0 citations
Under a softmax retrieval abstraction, a finite-sample upper bound is derived showing that maintaining a fixed accuracy target above base rate requires the evidence margin to scale as $\Omega(\sqrt{\log N})$, where N denotes the effective distractor count rather than necessarily the raw context length.
Meysam Ghaffari, Nina Fatehi, Bhaskar Sen et al.· 0 citations
The results are consistent with structured, feedback-derived error memory being useful for adapting clinical coding behavior across cases without weight updates or changes to the underlying workflow.
Meysam Ghaffari, Bhaskar Sen, Nasim Sabetpour et al.· 0 citations
This work proposes structured evidence routing, a router-predictor-reviewer workflow that separates full-record access from disease-specific assessment, and suggests that routing, laboratory evidence, task guidance, and review each contribute to performance.
Animesh Agarwal, Meysam Ghaffari, Nina Fatehi et al.· 0 citations
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