EHR2Trace: Auditable EHR Data Infrastructure for Patient World Models and Clinical Agents

arXiv:2609.38193 · cs.LG, cs.AI, cs.DB, q-bio.QM · Submitted 2026-09-18 · Read on arXiv

cs.LG, cs.AI, cs.DB, q-bio.QM

Submitted: 2026-09-18

Updated: 2026-09-18

Code: https://github.com/Yangxinyee/ehr2trace

Project page: https://ohdsi.github.io/CommonDataModel/cdm54

Terminology

• World Model — 11× in this paper · explained in 7 episodes
• Consistency — 4× in this paper · explained in 3 episodes
• Medical Event Data Standard — 4× in this paper
• OMOP Common Data Model — 3× in this paper
• Reinforcement Learning — 3× in this paper · explained in 4 episodes
• OHDSI Data Quality Dashboard — 2× in this paper
• Provenance — 2× in this paper · explained in 3 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Temporal consistency — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments
• EHRWorld: A Patient-Centric Medical World Model for Long-Horizon Clinical Trajectories
• ACES: Automatic Cohort Extraction System for Event-Stream Datasets

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