Data Sharing of Imaging in an Evolving Health Care World: Report of the ACR Data Sharing Workgroup, Part 1: Data Ethics of Privacy, Consent, and Anonymization

Juan Carlos Batlle*, Keith Dreyer, Bibb Allen, Tessa Cook, Christopher J. Roth, Andrea Borondy Kitts, Raym Geis, Carol C. Wu, Matt P. Lungren, Jay Patti, Adam Prater, Daniel Rubin, Safwan Halabi, Mike Tilkin, Tom Hoffman, Laura Coombs, Christoph Wald

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Radiology is at the forefront of the artificial intelligence transformation of health care across multiple areas, from patient selection to study acquisition to image interpretation. Needing large data sets to develop and train these algorithms, developers enter contractual data sharing agreements involving data derived from health records, usually with postacquisition curation and annotation. In 2019 the ACR convened a Data Sharing Workgroup to develop philosophies around best practices in the sharing of health information. The workgroup identified five broad domains of activity important to collaboration using patient data: privacy, informed consent, standardization of data elements, vendor contracts, and data valuation. This is Part 1 of a Report on the workgroup's efforts in exploring these issues.

Original languageEnglish (US)
Pages (from-to)1646-1654
Number of pages9
JournalJournal of the American College of Radiology
Volume18
Issue number12
DOIs
StatePublished - Dec 2021

Keywords

  • Anonymization
  • artificial intelligence
  • data science
  • data sharing
  • informatics

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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