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.
Anonymization
artificial intelligence
data science
data sharing
informatics
Journal
Journal of the American College of Radiology : JACR
ISSN: 1558-349X
Titre abrégé: J Am Coll Radiol
Pays: United States
ID NLM: 101190326
Informations de publication
Date de publication:
12 2021
12 2021
Historique:
received:
27
04
2021
accepted:
12
07
2021
pubmed:
6
10
2021
medline:
21
1
2022
entrez:
5
10
2021
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 34607754
pii: S1546-1440(21)00580-9
doi: 10.1016/j.jacr.2021.07.014
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1646-1654Informations de copyright
Copyright © 2021 American College of Radiology. Published by Elsevier Inc. All rights reserved.