Literature DB >> 16098819

Using software agents to preserve individual health data confidentiality in micro-scale geographical analyses.

Maged N Kamel Boulos1, Qiang Cai, Julian A Padget, Gerard Rushton.   

Abstract

Confidentiality constraints often preclude the release of disaggregate data about individuals, which limits the types and accuracy of the results of geographical health analyses that could be done. Access to individually geocoded (disaggregate) data often involves lengthy and cumbersome procedures through review boards and committees for approval (and sometimes is not possible). Moreover, current data confidentiality-preserving solutions compatible with fine-level spatial analyses either lack flexibility or yield less than optimal results (because of confidentiality-preserving changes they introduce to disaggregate data), or both. In this paper, we present a simulation case study to illustrate how some analyses cannot be (or will suffer if) done on aggregate data. We then quickly review some existing data confidentiality-preserving techniques, and move on to explore a solution based on software agents with the potential of providing flexible, controlled (software-only) access to unmodified confidential disaggregate data and returning only results that do not expose any person-identifiable details. The solution is thus appropriate for micro-scale geographical analyses where no person-identifiable details are required in the final results (i.e., only aggregate results are needed). Our proposed software agent technique also enables post-coordinated analyses to be designed and carried out on the confidential database(s), as needed, compared to a more conventional solution based on the Web Services model that would only support a rigid, pre-coordinated (pre-determined) and rather limited set of analyses. The paper also provides an exploratory discussion of mobility, security, and trust issues associated with software agents, as well as possible directions/solutions to address these issues, including the use of virtual organizations. Successful partnerships between stakeholder organizations, proper collaboration agreements, clear policies, and unambiguous interpretations of laws and regulations are also much needed to support and ensure the success of any technological solution.

Entities:  

Mesh:

Year:  2005        PMID: 16098819     DOI: 10.1016/j.jbi.2005.06.003

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  19 in total

1.  Providing Spatial Data for Secondary Analysis: Issues and Current Practices relating to Confidentiality.

Authors:  Myron Gutmann; Kristine Witkowski; Corey Colyer; Joanne McFarland O'Rourke; James McNally
Journal:  Popul Res Policy Rev       Date:  2008

2.  Privacy protection versus cluster detection in spatial epidemiology.

Authors:  Karen L Olson; Shaun J Grannis; Kenneth D Mandl
Journal:  Am J Public Health       Date:  2006-10-03       Impact factor: 9.308

Review 3.  An eight-year snapshot of geospatial cancer research (2002-2009): clinico-epidemiological and methodological findings and trends.

Authors:  Dina N Kamel Boulos; Ramy R Ghali; Ezzeldin M Ibrahim; Maged N Kamel Boulos; Philip AbdelMalik
Journal:  Med Oncol       Date:  2010-06-30       Impact factor: 3.064

4.  Geomasking sensitive health data and privacy protection: an evaluation using an E911 database.

Authors:  William B Allshouse; Molly K Fitch; Kristen H Hampton; Dionne C Gesink; Irene A Doherty; Peter A Leone; Marc L Serre; William C Miller
Journal:  Geocarto Int       Date:  2010-10-01       Impact factor: 4.889

5.  Influence of Demographic and Health Survey Point Displacements on Distance-Based Analyses.

Authors:  Joshua L Warren; Carolina Perez-Heydrich; Clara R Burgert; Michael E Emch
Journal:  Spat Demogr       Date:  2015-06-23

6.  Power to detect spatial disturbances under different levels of geographic aggregation.

Authors:  Caroline Jeffery; A Ozonoff; Laura F White; Miriam Nuño; Marcello Pagano
Journal:  J Am Med Inform Assoc       Date:  2009-08-28       Impact factor: 4.497

7.  Web GIS in practice III: creating a simple interactive map of England's Strategic Health Authorities using Google Maps API, Google Earth KML, and MSN Virtual Earth Map Control.

Authors:  Maged N Kamel Boulos
Journal:  Int J Health Geogr       Date:  2005-09-21       Impact factor: 3.918

8.  An unsupervised classification method for inferring original case locations from low-resolution disease maps.

Authors:  John S Brownstein; Christopher A Cassa; Isaac S Kohane; Kenneth D Mandl
Journal:  Int J Health Geogr       Date:  2006-12-08       Impact factor: 3.918

Review 9.  Musings on privacy issues in health research involving disaggregate geographic data about individuals.

Authors:  Maged N Kamel Boulos; Andrew J Curtis; Philip Abdelmalik
Journal:  Int J Health Geogr       Date:  2009-07-20       Impact factor: 3.918

10.  Effect of spatial resolution on cluster detection: a simulation study.

Authors:  Al Ozonoff; Caroline Jeffery; Justin Manjourides; Laura Forsberg White; Marcello Pagano
Journal:  Int J Health Geogr       Date:  2007-11-27       Impact factor: 3.918

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