She is interested in understanding what makes data-driven health trusted and the pathways for earning, achieving, and sustaining trust across stakeholders.
Her recent work, largely funded by NIH, examines public, patient, and other stakeholder perspectives on policy for data and information in precision oncology and the use of AI/ML in Clinical Decision Support. The goal of this work is to identify factors that influence trust in complex information systems and to develop evidence-based and actionable recommendations that can inform issues of institutional, state, and federal health policy.