title: The Challenges of Creating a Gold Standard for De-identification Research.
abstract: We created a Gold Standard corpus comprised over 20,000 records of annotated narrative clinical reports for use in the training and evaluation of NLM Scrubber, a de-identification software system for medical records. Our experience with designing the corpus demonstrated the conceptual complexity of the task.
authors.affiliation: Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, National Institutes of Health, Bethesda, MD.
authors.forename: Allen C
authors.initials: AC
authors.lastname: Browne
authors.affiliation: Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, National Institutes of Health, Bethesda, MD.
authors.forename: Mehmet
authors.initials: M
authors.lastname: Kayaalp
authors.affiliation: Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, National Institutes of Health, Bethesda, MD.
authors.forename: Zeyno A
authors.initials: ZA
authors.lastname: Dodd
authors.affiliation: Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, National Institutes of Health, Bethesda, MD.
authors.forename: Pamela
authors.initials: P
authors.lastname: Sagan
authors.affiliation: Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, National Institutes of Health, Bethesda, MD.
authors.forename: Clement J
authors.initials: CJ
authors.lastname: McDonald
mesh_terms: D003219:Confidentiality; D057286:Electronic Health Records; D020408:Health Insurance Portability and Accountability Act; D006801:Humans; D012984:Software; D014481:United States