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

J Am Coll Radiol. 2021 Dec;18(12):1646-1654. doi: 10.1016/j.jacr.2021.07.014. Epub 2021 Oct 2.


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.

Keywords: Anonymization; artificial intelligence; data science; data sharing; informatics.

MeSH terms

  • Artificial Intelligence*
  • Delivery of Health Care
  • Humans
  • Information Dissemination
  • Informed Consent
  • Privacy*