Abstract Keywords: Diversity, Equity and Inclusion, Artificial Intelligence/Machine Learning, Algorithmic bias and impacts on Health Equity
Primary Track: AI and Care Outcomes
Programmatic Theme: Emerging Technology and Technical Infrastructure
Racial and cultural bias and representation can influence clinical informatics, from ideation through dissemination. The panel addresses how bias can be introduced into the process of designing clinical informatics research (and data), workflows, and applications. This includes cultural considerations and structural or systemic inequities that influence how clinical informaticians approach, implement, and disseminate their work. Panelists will address these key issues, using the lenses of Asian American communities and experiences, and how racial and cultural biases in clinical informatics impacts applications and research for these populations. Lessons learned from this panel can apply more generally across populations.
Moderator: Elisabeth Scheufele,
MD, MS Boston Children's Hospital
