Multimodality Cardiac Imaging and the Imaging Workforce in the United States: Diversity, Disparities, and Future Directions

Renee P. Bullock-Palmer, Karen Flores Rosario, Pamela S. Douglas, Rebecca T. Hahn, Roberto M. Lang, Panithaya Chareonthaitawee, Monvadi B. Srichai, Karen G. Ordovas, Lauren A. Baldassarre, Melissa S. Burroughs, Cory S. Henderson, Pamela K. Woodard, Kathleen Pressoir, Madhav Swaminathan, Ron Blankstein, Melissa A. Daubert

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Innovations in cardiac imaging have fundamentally advanced the understanding and treatment of cardiovascular disease. These advances in noninvasive cardiac imaging have also expanded the role of the cardiac imager and dramatically increased the demand for imagers who are cross-trained in multiple modalities. However, we hypothesize that there is significant variation in the availability of cardiac imaging expertise and a disparity in the adoption of advanced imaging technologies across the United States. To evaluate this, we have brought together the leaders of cardiovascular imaging societies, imaging trainees, as well as collaborated with national imaging accreditation commissions and imaging certification boards to assess the state of cardiac imaging and the diversity of the imaging workforce in the United States. Aggregate data confirm the presence of critical gaps, such as limited access to imaging and imaging expertise in rural communities, as well as disparities in the imaging workforce, notably among women and underrepresented minorities. Based on these results, we have proposed solutions to promote and maintain a robust and diverse community of cardiac imagers and improve equity and accessibility for cardiac imaging technologies.

Original languageEnglish
Pages (from-to)E016409
JournalCirculation: Cardiovascular Imaging
Volume17
Issue number2
DOIs
StatePublished - Feb 1 2024

Keywords

  • advanced cardiac imaging training
  • disparities
  • diversity
  • equity and lnclusion
  • multimodality imaging
  • underserved populations

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