Data Quality- and Utility-Compliant Anonymization of Common Data Model-Harmonized Electronic Health Record Data: Protocol for a Scoping Review.

Kamdje Wabo, Gaetan; Prasser, Fabian; Gierend, Kerstin; Siegel, Fabian; Ganslandt, Thomas

Kamdje Wabo, Gaetan; Prasser, Fabian; Gierend, Kerstin; Siegel, Fabian; Ganslandt, Thomas.

Afiliação

Kamdje Wabo G; Department of Biomedical Informatics, Center for Preventive Medicine and Digital Health Baden-Württemberg, Mannheim Medical Faculty of the University of Heidelberg, Mannheim, Germany.
Prasser F; Berlin Institute of Health at Charité, Universitätsmedizin Berlin, Berlin, Germany.
Gierend K; Department of Biomedical Informatics, Center for Preventive Medicine and Digital Health Baden-Württemberg, Mannheim Medical Faculty of the University of Heidelberg, Mannheim, Germany.
Siegel F; Department of Biomedical Informatics, Center for Preventive Medicine and Digital Health Baden-Württemberg, Mannheim Medical Faculty of the University of Heidelberg, Mannheim, Germany.
Ganslandt T; Department of Urology and Urosurgery, University Medical Center Mannheim, Mannheim Medical Faculty of the University of Heidelberg, Mannheim, Germany.

JMIR Res Protoc ; 12: e46471, 2023 Aug 11.

Article em En | MEDLINE | ID: mdl-37566443

Palavras-chave

EHR; common data model; data anonymization; data privacy models; data quality; data standard; electronic health record

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Systematic_reviews Idioma: En Revista: JMIR Res Protoc Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha

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