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Ensuring a safe(r) harbor: Excising personally identifiable information from structured electronic health record data.
Pfaff, Emily R; Haendel, Melissa A; Kostka, Kristin; Lee, Adam; Niehaus, Emily; Palchuk, Matvey B; Walters, Kellie; Chute, Christopher G.
Afiliação
  • Pfaff ER; Department of Medicine, UNC Chapel Hill School of Medicine, Chapel Hill, North Carolina, USA.
  • Haendel MA; University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
  • Kostka K; The OHDSI Center at the Roux Institute, Northeastern University, Portland, Maine, USA.
  • Lee A; TraCS Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • Niehaus E; Palantir Technologies, Denver, Colorado, USA.
  • Palchuk MB; TriNetX LLC, Cambridge, Massachusetts, USA.
  • Walters K; TraCS Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • Chute CG; Schools of Medicine, Public Health, and Nursing, Johns Hopkins University, Baltimore, Maryland, USA.
J Clin Transl Sci ; 6(1): e10, 2022.
Article em En | MEDLINE | ID: mdl-35211336
ABSTRACT
Recent findings have shown that the continued expansion of the scope and scale of data collected in electronic health records are making the protection of personally identifiable information (PII) more challenging and may inadvertently put our institutions and patients at risk if not addressed. As clinical terminologies expand to include new terms that may capture PII (e.g., Patient First Name, Patient Phone Number), institutions may start using them in clinical data capture (and in some cases, they already have). Once in use, PII-containing values associated with these terms may find their way into laboratory or observation data tables via extract-transform-load jobs intended to process structured data, putting institutions at risk of unintended disclosure. Here we aim to inform the informatics community of these findings, as well as put out a call to action for remediation by the community.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article