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Respect, justice and learning are limited when patients are deidentified data subjects.

Marielle S GrossAmelia J HoodJoshua C RubinRobert C Miller
Published in: Learning health systems (2022)
Finally, we highlight ethical, socioeconomic, technological and legal challenges and next steps, including a critical appreciation for novel approaches to realize an LHS that maximizes efficient, effective learning and just translation without the compromises of deidentification.
Keyphrases
  • end stage renal disease
  • ejection fraction
  • newly diagnosed
  • chronic kidney disease
  • prognostic factors
  • peritoneal dialysis
  • electronic health record