Opening General Session +
SIIM Fellows Induction

Jun 27, 2024
8:00 AM - 9:30 AM ET
Room TBD + Virtual Live Stream

Kadija S. Ferryman, PhD

Assistant Professor, Johns Hopkins, Bloomberg School of Public Health

Session Number: 2001

Thinking of Informatics as Social Infrastructure


Society shapes imaging informatics, and imaging informatics shapes society.”

Biography

As Core Faculty at Johns Hopkins Berman Institute of Bioethics and Assistant Professor at the Bloomberg School of Public Health, she delves into the impact of genomics, digital medical records, and AI on racial health disparities. With a PhD from The New School for Social Research and over 20 years of research experience, she has led influential studies, such as the Fairness in Precision Medicine research at Data & Society. Dr. Ferryman's expertise extends to her roles as a Nonresident Fellow at the Urban Institute, a member of the All of Us Research Program's Institutional Review Board, and an Affiliate at the Center for Critical Race and Digital Studies. Her extensive publications include notable journals, and her groundbreaking research has garnered recognition in publications like Nature, STAT, and The Financial Times.

Objectives

  • Discuss the different ways that social categories are represented and constructed in health information.
  • Identify how health information includes social biases.
  • Describe how social biases in health information can affect the development & use of emerging medical technologies, specifically artificial intelligence (AI).

Credit Types

  • ASRT-RT
  • CAMPEP-MPCEC
  • UUCME-MD
  • SIIM IIP-CIIP
Headshot of Kadija Ferryman