Using software agents to preserve individual health data confidentiality in micro-scale geographical analyses
- PMID: 16098819
- DOI: 10.1016/j.jbi.2005.06.003
Using software agents to preserve individual health data confidentiality in micro-scale geographical analyses
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.
Similar articles
-
Remote access methods for exploratory data analysis and statistical modelling: Privacy-Preserving Analytics.Comput Methods Programs Biomed. 2008 Sep;91(3):208-22. doi: 10.1016/j.cmpb.2008.04.001. Epub 2008 May 20. Comput Methods Programs Biomed. 2008. PMID: 18495290
-
Enhancing privacy and authorization control scalability in the grid through ontologies.IEEE Trans Inf Technol Biomed. 2009 Jan;13(1):16-24. doi: 10.1109/TITB.2008.2003369. IEEE Trans Inf Technol Biomed. 2009. PMID: 19129020
-
A computational model to protect patient data from location-based re-identification.Artif Intell Med. 2007 Jul;40(3):223-39. doi: 10.1016/j.artmed.2007.04.002. Epub 2007 Jun 1. Artif Intell Med. 2007. PMID: 17544262
-
Securing electronic health records without impeding the flow of information.Int J Med Inform. 2007 May-Jun;76(5-6):471-9. doi: 10.1016/j.ijmedinf.2006.09.015. Epub 2007 Jan 3. Int J Med Inform. 2007. PMID: 17204451 Review.
-
Comparing approaches for advanced e-health security infrastructures.Int J Med Inform. 2007 May-Jun;76(5-6):454-9. doi: 10.1016/j.ijmedinf.2006.09.012. Epub 2006 Oct 30. Int J Med Inform. 2007. PMID: 17074532 Review.
Cited by
-
Power to detect spatial disturbances under different levels of geographic aggregation.J Am Med Inform Assoc. 2009 Nov-Dec;16(6):847-54. doi: 10.1197/jamia.M2788. Epub 2009 Aug 28. J Am Med Inform Assoc. 2009. PMID: 19717807 Free PMC article.
-
Re-identification of home addresses from spatial locations anonymized by Gaussian skew.Int J Health Geogr. 2008 Aug 12;7:45. doi: 10.1186/1476-072X-7-45. Int J Health Geogr. 2008. PMID: 18700031 Free PMC article.
-
Ensuring Confidentiality of Geocoded Health Data: Assessing Geographic Masking Strategies for Individual-Level Data.Adv Med. 2014;2014:567049. doi: 10.1155/2014/567049. Epub 2014 Apr 29. Adv Med. 2014. PMID: 26556417 Free PMC article. Review.
-
Influence of Demographic and Health Survey Point Displacements on Distance-Based Analyses.Spat Demogr. 2016 Jul;4(2):155-173. doi: 10.1007/s40980-015-0014-0. Epub 2015 Jun 23. Spat Demogr. 2016. PMID: 27453935 Free PMC article.
-
Privacy protection versus cluster detection in spatial epidemiology.Am J Public Health. 2006 Nov;96(11):2002-8. doi: 10.2105/AJPH.2005.069526. Epub 2006 Oct 3. Am J Public Health. 2006. PMID: 17018828 Free PMC article.
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources