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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.
Batlle, Juan Carlos; Dreyer, Keith; Allen, Bibb; Cook, Tessa; Roth, Christopher J; Kitts, Andrea Borondy; Geis, Raym; Wu, Carol C; Lungren, Matt P; Patti, Jay; Prater, Adam; Rubin, Daniel; Halabi, Safwan; Tilkin, Mike; Hoffman, Tom; Coombs, Laura; Wald, Christoph.
Afiliación
  • Batlle JC; Chief of Radiology, Doctors Hospital, Coral Gables, Florida; and Associate Professor, Chief of Thoracic Imaging, Baptist Health South Florida, Coral Gables Florida. Electronic address: Juan.batlle@alumni.duke.edu.
  • Dreyer K; Chief Data Science Officer, Massachusetts General Hospital, Boston, Massachusetts; Chief Imaging Information Officer, Massachusetts General Brigham, Boston, Massachusetts; Associate Professor, Department of Radiology and Chief Science Officer, Harvard Medical School, Boston, Massachusetts; and ACR D
  • Allen B; Birmingham Radiological Group, Birmingham, Alabama; and Chief Medical Officer, ACR Data Science Institute.
  • Cook T; Assistant Professor and Chief, 3-D and Advanced Imaging, Department of Radiology, and Director, Center for Practice Transformation, University of Pennsylvania Hospital, Philadelphia, Pennsylvania.
  • Roth CJ; Chair, SIIM Program Committee; Chair, HIMSS-SIIM; Enterprise Imaging Community; Chair, ACR Informatics Commission; Chair, IHE Radiology (RSNA); RSNA Annual Meeting Program Planning Committee, Chair, Informatics Subcommittee; RSNA Informatics Committee; and Duke University School of Medicine, Durham,
  • Kitts AB; Lung Cancer and Patient Advocate; Chief Operating Officer, Prosumer Health; Board Member, Rescue Lung Society; and Associate Editor, JACR.
  • Geis R; National Jewish Health and University of Colorado, Denver, Colorado.
  • Wu CC; Professor and Deputy Chair (ad interim), Thoracic Imaging Department, University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Lungren MP; Co-Director, Stanford Center for Artificial Intelligence in Medicine; and Imaging Associate Professor, Stanford University School of Medicine, Palo Alto, California.
  • Patti J; Novant Health Winston-Salem, North Carolina; and Chief Radiology Informatics Officer, Mecklenburg Radiology Associates, Charlotte, North Carolina.
  • Prater A; Emory University School of Medicine, Atlanta, Georgia; and Director, Imaging Informatics, Grady Memorial Hospital, Atlanta, Georgia.
  • Rubin D; Co-Director, Stanford Center for Artificial Intelligence in Medicine; and Imaging Associate Professor, Stanford University School of Medicine, Palo Alto, California.
  • Halabi S; Co-Director, Stanford Center for Artificial Intelligence in Medicine; and Imaging Associate Professor, Stanford University School of Medicine, Palo Alto, California.
  • Tilkin M; Director, Biomedical Informatics, Stanford Cancer Institute, Stanford, California; Director, Scholarly Concentration in Informatics and Data Driven Medicine, Stanford University, Stanford, California; and CIO and EVP, American College of Radiology, Reston, Virginia.
  • Hoffman T; Vice-President, Legal, American College of Radiology, Reston, Virginia.
  • Coombs L; Vice-President, Senior Director, Data Science and Informatics, American College of Radiology, Reston, Virginia.
  • Wald C; Chair, Radiology and Chair, Robert E. Wise Institute at Lahey Hospital & Medical Center, Burlington, Massachusetts; and Chair, Commission on Informatics, ACR Professor of Radiology, Tufts University Medical School, Boston, Massachusetts.
J Am Coll Radiol ; 18(12): 1646-1654, 2021 12.
Article en En | MEDLINE | ID: mdl-34607754
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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Privacidad Tipo de estudio: Guideline Aspecto: Ethics Límite: Humans Idioma: En Revista: J Am Coll Radiol Asunto de la revista: RADIOLOGIA Año: 2021 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Privacidad Tipo de estudio: Guideline Aspecto: Ethics Límite: Humans Idioma: En Revista: J Am Coll Radiol Asunto de la revista: RADIOLOGIA Año: 2021 Tipo del documento: Article
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