Replication package: LLM-generated digital standardized patients exhibit systematic biases in scripting and enactment across clinically relevant demographics

Code, prompts, case templates, and simulated conversation logs for a full factorial simulation experiment auditing demographic differences in LLM-generated digital standardized patients (DSPs). One LLM (Claude Sonnet 4) generated 216 case scripts crossing six demographic factors for an HIV pre-exposure prophylaxis (PrEP) screening scenario; a second LLM (GPT-4o-mini) role-played each case in 10 simulated encounters in a generated arm and a template-substituted control arm (4,320 total conversations). The package includes all analysis code (R), extraction scripts (Python), generated and control case scripts, conversation logs, and the manuscript source.