5 papers
From Scores to Safe Sets: Exact Safety--Constrained Decoding for Medication Recommendation
Animesh Agarwal, Meysam Ghaffari, Nina Fatehi +2
Recent generative medication recommendation systems ultimately produce sets of drugs, but drug--drug interaction (DDI) constraints depend on the set as a whole. A natural post-hoc…
Verification Turns Capability Gaps into Routing Decisions: Small Language Models for Clinical Documentation
Nina Fatehi, Meysam Ghaffari, Animesh Agarwal +2
Clinical note generation from doctor--patient dialogue is high-volume and hallucination-intolerant: a fabricated laboratory value can create patient-safety risk, not a quality regr…
LearnActCoder: Role-Aware Error Memory for Adaptive Clinical Coding Agents
Meysam Ghaffari, Bhaskar Sen, Nasim Sabetpour +3
Clinical coding agents repeatedly encounter the same failure modes, including unsupported codes, missed documented conditions, specificity errors, and procedure-coding convention m…
A Multi-Agent Pipeline for Source-Grounded Synthetic Note Generation from Longitudinal Structured EHR
Nina Fatehi, Reihaneh Hassanzadeh, Meysam Ghaffari +2
Structured EHR is abundant but sparse, coded, and difficult to use directly for note-centric clinical modeling. We present MedNotes, a multi-agent synthetic data generation pipelin…
Structured Evidence Routing for Incident Risk Prediction from Multimodal Longitudinal EHRs
Animesh Agarwal, Meysam Ghaffari, Nina Fatehi +1
Incident risk prediction from longitudinal electronic health records (EHRs) is challenging because relevant signals are multimodal, weak in isolation, and distributed across irregu…