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SUMMARY:A LifeCycle Model for Privacy Preserving Record Linkage - Bradley 
 Malin (Vanderbilt University)
DTSTART:20160913T103000Z
DTEND:20160913T110000Z
UID:TALK67328@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:Individuals increasingly leave behind information in resources
  managed by disparate organizations.&nbsp\; There is an interest in making
  this information available for a wide array of endeavors (e.g.\, policy a
 ssessment\, discovery-based research\, and surveillance activities).&nbsp\
 ; Given the distribution of data\, it is critical to ensure that it is suf
 ficiently integrated before conducting any statistical investigation to pr
 event duplication (and thus overcounting of events) and fragmentation (and
  thus undercounting of events).&nbsp\; This problem is resolved through re
 cord linkage procedures\, techniques that have been refined for over half 
 a century.&nbsp\; However\, these methods often rely on explicit- or poten
 tially identifying features\, which often conflict with the expectations o
 f privacy regulations.&nbsp\; More recently\, privacy preserving record li
 nkage (PPRL) methods have been proposed which rely on randomized transform
 ations of data\, as well as cryptographically secure processing methods. H
 owever\, it is often unclear how the various steps of a record lifecycle\,
  including standardization\, parameter estimation\,&nbsp\;blocking\, recor
 d pair comparison\, and ccommunication between all of the various parties 
 involved in the process can take place.&nbsp\;In this talk\, I will review
  recent developments in PPRL methods\, discuss how they have been engineer
 ed into working software systems\, and provide examples of how they have b
 een applied in several distributed networks in the healthcare community to
  facilitate biomedical research and epidemiological investigations.
LOCATION:Seminar Room 1\, Newton Institute
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