Literature DB >> 17476066

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

Luigi Lo Iacono1.   

Abstract

This paper discusses the importance of protecting the privacy of patient data kept in an Electronic Health Record (EHR) in the case, where it leaves the control- and protection-sphere of the health care realm for secondary uses such as clinical or epidemiological research projects, health care research, assessment of treatment quality or economic assessments. The paper focuses on multi-centric studies, where various data sources are linked together using Grid technologies. It introduces a pseudonymisation system which enables a multi-centric universal pseudonymisation, meaning that a patient's identity will result in the same pseudonym, regardless of which participating study center the patient data is collected.

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Mesh:

Year:  2007        PMID: 17476066

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  5 in total

1.  Recognition and pseudonymisation of medical records for secondary use.

Authors:  Johannes Heurix; Stefan Fenz; Antonio Rella; Thomas Neubauer
Journal:  Med Biol Eng Comput       Date:  2015-06-04       Impact factor: 2.602

Review 2.  Clinical Data Reuse or Secondary Use: Current Status and Potential Future Progress.

Authors:  S M Meystre; C Lovis; T Bürkle; G Tognola; A Budrionis; C U Lehmann
Journal:  Yearb Med Inform       Date:  2017-09-11

3.  Pseudonymization of patient identifiers for translational research.

Authors:  Harald Aamot; Christian Dominik Kohl; Daniela Richter; Petra Knaup-Gregori
Journal:  BMC Med Inform Decis Mak       Date:  2013-07-24       Impact factor: 2.796

4.  The promotion of data sharing in pharmacoepidemiology.

Authors:  Nayha Sethi
Journal:  Eur J Health Law       Date:  2014-06

5.  A generic solution for web-based management of pseudonymized data.

Authors:  Ronald Lautenschläger; Florian Kohlmayer; Fabian Prasser; Klaus A Kuhn
Journal:  BMC Med Inform Decis Mak       Date:  2015-11-30       Impact factor: 2.796

  5 in total

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