A causal framework treats Gantt charts of patient journeys as causal DAGs, splits estimation between expert input and observational data, and uses LLMs to scale the expert side.
Discrete Event System Simulation
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Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement
A causal framework treats Gantt charts of patient journeys as causal DAGs, splits estimation between expert input and observational data, and uses LLMs to scale the expert side.