Literature DB >> 8947683

Replacing personally-identifying information in medical records, the Scrub system.

L Sweeney1.   

Abstract

We define a new approach to locating and replacing personally-identifying information in medical records that extends beyond straight search-and-replace procedures, and we provide techniques for minimizing risk to patient confidentiality. The straightforward approach of global search and replace properly located no more than 30-60% of all personally-identifying information that appeared explicitly in our sample database. On the other hand, our Scrub system found 99-100% of these references. Scrub uses detection algorithms that employ templates and specialized knowledge of what constitutes a name, address, phone number and so forth.

Entities:  

Mesh:

Year:  1996        PMID: 8947683      PMCID: PMC2233179     

Source DB:  PubMed          Journal:  Proc AMIA Annu Fall Symp        ISSN: 1091-8280


  1 in total

Review 1.  The application of computer-based medical-record systems in ambulatory practice.

Authors:  G O Barnett
Journal:  N Engl J Med       Date:  1984-06-21       Impact factor: 91.245

  1 in total
  56 in total

1.  Disambiguation data: extracting information from anonymized sources.

Authors:  S Dreiseitl; S Vinterbo; L Ohno-Machado
Journal:  Proc AMIA Symp       Date:  2001

2.  Bioinformatics and clinical informatics: the imperative to collaborate.

Authors:  I S Kohane
Journal:  J Am Med Inform Assoc       Date:  2000 Sep-Oct       Impact factor: 4.497

3.  A proposed key escrow system for secure patient information disclosure in biomedical research databases.

Authors:  Todd A Ferris; Gregory M Garrison; Henry J Lowe
Journal:  Proc AMIA Symp       Date:  2002

4.  Using binning to maintain confidentiality of medical data.

Authors:  Zhen Lin; Michael Hewett; Russ B Altman
Journal:  Proc AMIA Symp       Date:  2002

5.  A successful technique for removing names in pathology reports using an augmented search and replace method.

Authors:  Sean M Thomas; Burke Mamlin; Gunther Schadow; Clement McDonald
Journal:  Proc AMIA Symp       Date:  2002

Review 6.  Strategies for de-identification and anonymization of electronic health record data for use in multicenter research studies.

Authors:  Clete A Kushida; Deborah A Nichols; Rik Jadrnicek; Ric Miller; James K Walsh; Kara Griffin
Journal:  Med Care       Date:  2012-07       Impact factor: 2.983

7.  Hiding in plain sight: use of realistic surrogates to reduce exposure of protected health information in clinical text.

Authors:  David Carrell; Bradley Malin; John Aberdeen; Samuel Bayer; Cheryl Clark; Ben Wellner; Lynette Hirschman
Journal:  J Am Med Inform Assoc       Date:  2012-07-06       Impact factor: 4.497

8.  Using a pipeline to improve de-identification performance.

Authors:  Frances P Morrison; Soumitra Sengupta; George Hripcsak
Journal:  AMIA Annu Symp Proc       Date:  2009-11-14

9.  Inductive creation of an annotation schema and a reference standard for de-identification of VA electronic clinical notes.

Authors:  Jeanmarie Mayer; Shuying Shen; Brett R South; Stephane Meystre; F Jeff Friedlin; William R Ray; Matthew Samore
Journal:  AMIA Annu Symp Proc       Date:  2009-11-14

10.  Building a best-in-class automated de-identification tool for electronic health records through ensemble learning.

Authors:  Karthik Murugadoss; Ajit Rajasekharan; Bradley Malin; Vineet Agarwal; Sairam Bade; Jeff R Anderson; Jason L Ross; William A Faubion; John D Halamka; Venky Soundararajan; Sankar Ardhanari
Journal:  Patterns (N Y)       Date:  2021-05-12
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