Victoria L. Tiase

Victoria L. Tiase is an Assistant Professor of Biomedical Informatics and Nursing at the University of Utah. Her work focuses on integrating patient-generated health data into electronic health records (EHR), optimizing nursing workload modeling, and advancing digital health equity through policy and innovation. She serves on multiple leadership boards, including the Alliance for Nursing Informatics and the National Academy of Medicine’s Future of Nursing 2030 Committee.

• BSN, University of Virginia
• MSN, Columbia University
• PhD, University of Utah

Her research spans Nursing Informatics, Digital Medicine, and Healthcare Policy, with recent publications on AI in clinical documentation, virtual nursing, and EHR usability. She is a Fellow of American Medical Informatics Association (FAMIA), American Academy of Nursing (FAAN), and National Academy of Practice (FNAP), with board certification in Informatics Nursing (NI-BC).

Key scientific contributions include:

• 2025: Defining AI-driven nursing documentation workflows
• 2024: Developing EHR-integrated interventions for lung cancer screening
• 2024: Conceptualizing data models for nursing workload analytics
• 2023: Analyzing documentation burden reduction strategies