Big data and advanced technologies play an increasingly significant role in our health and the healthcare we receive, paving the way for more efficient and equitable healthcare systems. Key components of such systems include stakeholder involvement, data integrity, and technology transparency. Understanding the linkage of these factors is essential to catalyze a trusted healthcare environment.

This session examines how:
*Trusted intermediators should seek input from diverse stakeholders to ensure their questions are meaningful to the beneficiaries
*Data integrity and representativeness is essential to avoid potential downstream biases and/or harm
*Model transparency is necessary to ensure that AI technologies are deployed in an equitable and reproducible manner

Tina Hernandez-Boussard is Associate Professor in Medicine (Biomedical Informatics), Biomedical Data Science, and Surgery at the Stanford University School of Medicine. Dr. Hernandez-Boussard’s background and expertise is in the field of computational biology, with concentration on accountability measures, population health, and health policy. A key focus of her research is the application of novel methods and tools to create and maintain large clinical datasets for hypothesis generation, comparative effectiveness research, and the evaluation of quality healthcare delivery.