A modular pipeline combines structured patient generation, journey simulation, and LLM note generation with validation to produce a released dataset of 70 synthetic patients each with 20-50 longitudinal clinical notes.
Olatunji, Jens Rauch, Matthias Katzensteiner, and Megha Khosla
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A Pipeline for Generating Longitudinal Synthetic Clinical Notes Using Large Language Models
A modular pipeline combines structured patient generation, journey simulation, and LLM note generation with validation to produce a released dataset of 70 synthetic patients each with 20-50 longitudinal clinical notes.