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...

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Detalles Bibliográficos
Autores principales: Gross, Marielle S., Hood, Amelia J., Rubin, Joshua C., Miller, Robert C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Policy Analyses
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9284924/
https://www.ncbi.nlm.nih.gov/pubmed/35860318
http://dx.doi.org/10.1002/lrh2.10303

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9284924/
https://www.ncbi.nlm.nih.gov/pubmed/35860318
http://dx.doi.org/10.1002/lrh2.10303

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