Respect, justice and learning are limited when patients are deidentified data subjects
Introduction Critical for advancing a Learning Health System (LHS) in the U.S., a regulatory safe harbor for deidentified data reduces barriers to learning from care at scale while minimizing privacy risks. We examine deidentified data policy as a mechanism for synthesizing the ethical obligations u...
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Published in: | Learning health systems Vol. 6; no. 3; pp. e10303 - n/a |
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Main Authors: | , , , |
Format: | Journal Article |
Language: | English |
Published: |
United States
John Wiley & Sons, Inc
01-07-2022
John Wiley and Sons Inc Wiley |
Subjects: | |
Online Access: | Get full text |
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