Data governance in radiology part II: Innovative opportunities for research, education, and clinical practice in radiology

Chloe M. Chhor, Surbhi Raichandani, Liam du Preez, Nicholas R. Brandser, Joseph Fotos, Rahim S. Jiwani, David Li, Prabhakar Shantha Rajiah, Jessica M. Sin, Xuan V. Nguyen

Research output: Contribution to journalReview articlepeer-review

1 Scopus citations

Abstract

Effective data governance has potential to enhance clinical radiology practice and facilitate radiologic research and education. This article will review specific topics in data governance relevant to radiology, with emphasis on innovative approaches and adaptations that may advance radiology in the near future. The potential value of radiology images and reports for AI and other research opportunities is discussed, as are mechanisms to facilitate radiologic data access and exchange, including federated data access to facilitate research or large-scale quality monitoring while preserving data privacy. Data governance also has application to radiology education, including limitations and privacy/confidentiality issues related to access by radiology learners. Innovative approaches to radiology report generation and other modifications to radiology workflow could add to radiologist efficiency and maximize accuracy or other quality measures of radiology data.

Original languageEnglish (US)
Pages (from-to)562-567
Number of pages6
JournalCurrent Problems in Diagnostic Radiology
Volume54
Issue number5
DOIs
StatePublished - Sep 1 2025

Bibliographical note

Publisher Copyright:
© 2025

Keywords

  • Data governance
  • Data management
  • Data privacy
  • Data quality
  • Health data stewardship

PubMed: MeSH publication types

  • Journal Article
  • Review

Fingerprint

Dive into the research topics of 'Data governance in radiology part II: Innovative opportunities for research, education, and clinical practice in radiology'. Together they form a unique fingerprint.

Cite this