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SIMAX: A Scalable and Interpretable Framework for Multi-Fidelity and Annotated Clinician-Patient Dialogue Simulation

arXiv (Cornell University)

Abstract

Background. The widespread deployment of ambient digital scribes is driving large-scale capture of clinician-patient dialogues. Human coding of clinical communication data remains costly, inconsistent, and difficult to scale, motivating AI-driven communication coding systems. However, evaluating these systems requires real-world dialogues and human-coded labels, both hard to obtain at scale. Methods. We developed SIMAX (Scalable and Interpretable Framework for Multi-Fidelity and Annotated Clinician-Patient Dialogue Simulation), a framework for generating controlled clinical dialogue data with reference behavioral annotations. SIMAX generates clinician-patient dialogues from predefined clinical scenarios, personas and voice conditions, and target communication behaviors. Behaviors are controlled using two codebooks: the Global Codebook for overall communication quality and the WISER Codebook for specific countable behaviors. We evaluated SIMAX using automated and human quality assessments and an example communication coding system. Results. SIMAX generated 3,388 simulated dialogues across three specialties, multiple visit stages, persona characteristics, and accent conditions. Automated assessment showed mean UTMOS and WV-MOS scores of 3.03 and 2.61, WER and CER of 0.07 and 0.05, and CLAP cosine similarity of 0.41, suggesting reasonable speech naturalness, high transcription fidelity, and positive text-audio correspondence. Human evaluation showed a median MOS of 4.67 and a median clinical realism score of 3.00. Downstream evaluation suggests that SIMAX can assess how a communication coding system responds to behavioral targets and reveal insufficient sensitivity in some dimensions. Conclusions. SIMAX generates controlled and reproducible simulated clinician-patient dialogues, providing a data foundation for developing, validating, and refining communication coding systems.

Authors 19

  1. Duke University

    Affiliation as printed

    Department of Biostatistics and Bioinformatics , Duke University School of Medicine , Durham , NC , USA

  2. Duke-NUS Medical School

    Affiliation as printed

    Centre for Biomedical Data Science , Duke-NUS Medical School , Singapore , Singapore

    Duke-NUS AI + Medical Sciences Initiative , Duke-NUS Medical School , Singapore , Singapore

  3. Duke University

    Affiliation as printed

    Department of Statistical Science , Duke University , Durham , NC , USA

  4. Duke University

    Affiliation as printed

    Department of Biostatistics and Bioinformatics , Duke University School of Medicine , Durham , NC , USA

  5. Duke University

    Affiliation as printed

    Department of Biostatistics and Bioinformatics , Duke University School of Medicine , Durham , NC , USA

  6. Leiden University · Duke University · Leiden University Medical Center

    Affiliation as printed

    Department of Biostatistics and Bioinformatics , Duke University School of Medicine , Durham , NC , USA

    Leiden University Medical Centre , Leiden , The Netherlands

  7. The University of Texas at Austin

    Affiliation as printed

    Department of Mathematics , University of Texas at Austin , Austin , USA

  8. Yale University

    Affiliation as printed

    Department of Internal Medicine , Yale School of Medicine , New Haven , CT , USA

  9. Duke University

    Affiliation as printed

    Department of Biostatistics and Bioinformatics , Duke University School of Medicine , Durham , NC , USA

  10. University of the Sciences · University of the Arts · University of Pennsylvania

    Affiliation as printed

    Department of Biostatistics, Epidemiology and Informatics , Perelman School of Medicine , University of Pennsylvania , Philadelphia , PA , USA

    The Graduate Group in Applied Mathematics and Computational Science , School of Arts and Sciences , University of Pennsylvania , Philadelphia , PA , USA

  11. Duke University

    Affiliation as printed

    Department of Biostatistics and Bioinformatics , Duke University School of Medicine , Durham , NC , USA

  12. MedStar Health

    Affiliation as printed

    Medstar Health National Center for Human Factors in Healthcare , Washington , DC , USA

  13. Columbia University

    Affiliation as printed

    Department of Biomedical Informatics , Columbia University , New York , NY , USA

  14. Duke University · Pulmonary and Allergy Associates

    Affiliation as printed

    Division of Pulmonary, Allergy and Critical Care Medicine , Duke University School of Medicine , Durham , NC , USA

  15. Duke University

    Affiliation as printed

    Division of Rheumatology and Immunology , Duke University School of Medicine , Durham , NC , USA

  16. Duke University · Duke Medical Center

    Affiliation as printed

    Cancer Prevention and Control , Duke Cancer Institute , Durham , NC , USA

    Department of Population Health Sciences , Duke University School of Medicine , Durham , NC , USA

  17. Duke University · Duke Institute for Health Innovation · Duke University Health System

    Affiliation as printed

    Duke Center for Health Informatics , Duke University , Durham , NC , USA

  18. Duke University

    Affiliation as printed

    Department of Biostatistics and Bioinformatics , Duke University School of Medicine , Durham , NC , USA

    Duke Clinical Research Institute , Durham , NC , USA

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