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 language | English (US) |
|---|---|
| Pages (from-to) | 1646-1654 |
| Number of pages | 9 |
| Journal | Journal of the American College of Radiology |
| Volume | 18 |
| Issue number | 12 |
| DOIs | |
| State | Published - Dec 2021 |
Funding
Dr Batlle reports receiving payments for lectures from Boehringer Ingelheim. Dr Cook reports grants from ACRIN, NIH, ACR, and RSNA, as well as royalties from the Osler Institute for lectures in 2013 (outside the submitted work). Dr Roth reports support from SIIM Program Committee, SIIM Board of Directors retreat, ACR Informatics Summit, and RSNA Informatics Committee. Ms Kitts reports consulting frees from Astra Zeneca and MedTronic; travel reimbursement from the American Lung Association, American Cancer Society, International Association for the Study of Lung Cancer, ACR, Association of American Medical Colleges, National Academy of Medicine, American College of Physicians, American Thoracis Society, Medtronic; stock options in Prosumer health start-up company and J&J, Abbvie, Abbot Labs. Dr Geis reports travel compensation from ACR. Dr Wu reports a grant from NIBIB through University of Chicago for being part of Medical Imaging and Data Resource Center and royalties from Elsevier, Inc. Dr Lungren reports grants or contracts from NIH Institution, GE Healthcare Institution; consulting fees from Bayer Consulting; patents planned, issued or pending for Systems and Methods for Radiology Image Classification from Noisy Images US-2021-0089840-A1; stock or stock options in Nines Radiology Shares, SegMed Shares, BunkerHill Shares. Dr Patti reports consulting fees from McKesson and patents planned, issued, or pending for US10078726B2. Dr Rubin reports grants or contracts from NIH, GE, and Philips, unrelated to this paper; consulting fees from Genentech; payment for lectures from Boehringer Ingelheim; and holds two patents unrelated to this paper. Dr Halabi reports payment from Boehringer Ingelheim for lectures. Dr Wald reports consulting fees from Philips Healthtech. The other authors state that they have no conflict of interest related to the material discussed in this article. Drs Allen and Patti are partners; and all other authors are non-partner/non-partnership track/employees. Dr Batlle reports receiving payments for lectures from Boehringer Ingelheim . Dr Cook reports grants from ACRIN , NIH , ACR , and RSNA , as well as royalties from the Osler Institute for lectures in 2013 (outside the submitted work). Dr Roth reports support from SIIM Program Committee, SIIM Board of Directors retreat, ACR Informatics Summit, and RSNA Informatics Committee. Ms Kitts reports consulting frees from Astra Zeneca and MedTronic; travel reimbursement from the American Lung Association, American Cancer Society, International Association for the Study of Lung Cancer, ACR, Association of American Medical Colleges, National Academy of Medicine, American College of Physicians, American Thoracis Society, Medtronic; stock options in Prosumer health start-up company and J&J, Abbvie, Abbot Labs. Dr Geis reports travel compensation from ACR. Dr Wu reports a grant from NIBIB through University of Chicago for being part of Medical Imaging and Data Resource Center and royalties from Elsevier, Inc. Dr Lungren reports grants or contracts from NIH Institution, GE Healthcare Institution; consulting fees from Bayer Consulting; patents planned, issued or pending for Systems and Methods for Radiology Image Classification from Noisy Images US-2021-0089840-A1; stock or stock options in Nines Radiology Shares, SegMed Shares, BunkerHill Shares. Dr Patti reports consulting fees from McKesson and patents planned, issued, or pending for US10078726B2. Dr Rubin reports grants or contracts from NIH , GE , and Philips , unrelated to this paper; consulting fees from Genentech; payment for lectures from Boehringer Ingelheim; and holds two patents unrelated to this paper. Dr Halabi reports payment from Boehringer Ingelheim for lectures. Dr Wald reports consulting fees from Philips Healthtech. The other authors state that they have no conflict of interest related to the material discussed in this article. Dr Batlle, Dr Dreyer, Dr Roth, Ms Kitts, Dr Geis, Dr Wu, Dr Lungren, Dr Prater, Dr Rubin, Dr Halabi, Mr Tilkin, Mr Hoffman, Ms Coombs, and Dr Wald are nonpartner, non–partnership track employee. Dr Allen and Dr Patti are partners.
Keywords
- Anonymization
- artificial intelligence
- data science
- data sharing
- informatics
ASJC Scopus subject areas
- Radiology Nuclear Medicine and imaging