AI Article Synopsis
- Radiology is leading the way in integrating artificial intelligence into healthcare, impacting areas such as patient selection, study acquisition, and image interpretation.
- Developers require large health record data sets, which leads to contractual agreements for data sharing, accompanied by careful curation and annotation of this data.
- In 2019, the ACR established a Data Sharing Workgroup to identify best practices for sharing health information, focusing on five key areas: privacy, informed consent, standardization, vendor contracts, and data valuation.
Article 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.
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| http://dx.doi.org/10.1016/j.jacr.2021.07.014 | DOI Listing |
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