Development of secure infrastructure for advancing generative artificial intelligence research in healthcare at an academic medical center.

Journal: Journal of the American Medical Informatics Association : JAMIA
PMID: 39836496

Abstract

BACKGROUND: Generative AI, particularly large language models (LLMs), holds great potential for improving patient care and operational efficiency in healthcare. However, the use of LLMs is complicated by regulatory concerns around data security and patient privacy. This study aimed to develop and evaluate a secure infrastructure that allows researchers to safely leverage LLMs in healthcare while ensuring HIPAA compliance and promoting equitable AI.

Authors

  • Madelena Y Ng
    Department of Medicine, Stanford University, Stanford, CA, USA.
  • Jarrod Helzer
    Technology and Digital Solutions, Stanford Health Care, Stanford, CA 94305, United States.
  • Michael A Pfeffer
    Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, United States.
  • Tina Seto
    Stanford University, School of Medicine, Stanford, CA.
  • Tina Hernandez-Boussard
    Stanford Center for Biomedical Informatics Research, Stanford, California 94305, USA.

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