Literature DB >> 26040587

Recognition and pseudonymisation of medical records for secondary use.

Johannes Heurix1, Stefan Fenz2, Antonio Rella3, Thomas Neubauer2.   

Abstract

Health records rank among the most sensitive personal information existing today. An unwanted disclosure to unauthorised parties usually results in significant negative consequences for an individual. Therefore, health records must be adequately protected in order to ensure the individual's privacy. However, health records are also valuable resources for clinical studies and research activities. In order to make the records available for privacy-preserving secondary use, thorough de-personalisation is a crucial prerequisite to prevent re-identification. This paper introduces MEDSEC, a system which automatically converts paper-based health records into de-personalised and pseudonymised documents which can be accessed by secondary users without compromising the patients' privacy. The system converts the paper-based records into a standardised structure that facilitates automated processing and the search for useful information.

Entities:  

Keywords:  De-personalisation; Information management; Privacy; Pseudonymisation; Secondary use

Mesh:

Year:  2015        PMID: 26040587     DOI: 10.1007/s11517-015-1322-7

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  15 in total

1.  Privacy protection for clinical and genomic data. The use of privacy-enhancing techniques in medicine.

Authors:  B Claerhout; G J E DeMoor
Journal:  Int J Med Inform       Date:  2005-03       Impact factor: 4.046

2.  Pseudonymization of radiology data for research purposes.

Authors:  Rita Noumeir; Alain Lemay; Jean-Marc Lina
Journal:  J Digit Imaging       Date:  2007-09       Impact factor: 4.056

3.  Syntactically-informed semantic category recognition in discharge summaries.

Authors:  Tawanda Sibanda; Tian He; Peter Szolovits; Ozlem Uzuner
Journal:  AMIA Annu Symp Proc       Date:  2006

4.  Rapidly retargetable approaches to de-identification in medical records.

Authors:  Ben Wellner; Matt Huyck; Scott Mardis; John Aberdeen; Alex Morgan; Leonid Peshkin; Alex Yeh; Janet Hitzeman; Lynette Hirschman
Journal:  J Am Med Inform Assoc       Date:  2007-06-28       Impact factor: 4.497

5.  Multi-centric universal pseudonymisation for secondary use of the EHR.

Authors:  Luigi Lo Iacono
Journal:  Stud Health Technol Inform       Date:  2007

6.  Developing a standard for de-identifying electronic patient records written in Swedish: precision, recall and F-measure in a manual and computerized annotation trial.

Authors:  Sumithra Velupillai; Hercules Dalianis; Martin Hassel; Gunnar H Nilsson
Journal:  Int J Med Inform       Date:  2009-05-23       Impact factor: 4.046

7.  Using reduced rule base with Expert System for the diagnosis of disease in hypertension.

Authors:  Fatih Başçiftçi; Ayşe Eldem
Journal:  Med Biol Eng Comput       Date:  2013-09-17       Impact factor: 2.602

8.  Repurposing the clinical record: can an existing natural language processing system de-identify clinical notes?

Authors:  Frances P Morrison; Li Li; Albert M Lai; George Hripcsak
Journal:  J Am Med Inform Assoc       Date:  2008-10-24       Impact factor: 4.497

9.  Influence of the HIPAA Privacy Rule on health research.

Authors:  Roberta B Ness
Journal:  JAMA       Date:  2007-11-14       Impact factor: 56.272

10.  Patients' attitudes toward electronic health information exchange: qualitative study.

Authors:  Steven R Simon; J Stewart Evans; Alison Benjamin; David Delano; David W Bates
Journal:  J Med Internet Res       Date:  2009-08-06       Impact factor: 5.428

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  2 in total

1.  Grand Duchy of Luxembourg: a case study of a national master patient index in production since five years.

Authors:  Raffaella Vaccaroli; Frédéric Markus; Samuel Danhardt; Heiko Zimmermann; Francois Wisniewski; Pascale Lucas; Hervé Barge
Journal:  BMC Med Inform Decis Mak       Date:  2020-07-17       Impact factor: 2.796

2.  Salience of Medical Concepts of Inside Clinical Texts and Outside Medical Records for Referred Cardiovascular Patients.

Authors:  Sungrim Moon; Sijia Liu; David Chen; Yanshan Wang; Douglas L Wood; Rajeev Chaudhry; Hongfang Liu; Paul Kingsbury
Journal:  J Healthc Inform Res       Date:  2019-01-28
  2 in total

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