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Protecting the privacy of individual general practice patient electronic records for geospatial epidemiology research

Mazumdar, Soumya; Konings, Paul; Hewett, Michael; Bagheri, Nasser; McRae, Ian; Del Fante, Peter

Description

Background: General practitioner (GP) practices in Australia are increasingly storing patient information in electronic databases. These practice databases can be accessed by clinical audit software to generate reports that inform clinical or population health decision making and public health surveillance. Many audit software applications also have the capacity to generate de-identified patient unit record data. However, the de-identified nature of the extracted data means that these records...[Show more]

dc.contributor.authorMazumdar, Soumya
dc.contributor.authorKonings, Paul
dc.contributor.authorHewett, Michael
dc.contributor.authorBagheri, Nasser
dc.contributor.authorMcRae, Ian
dc.contributor.authorDel Fante, Peter
dc.date.accessioned2015-12-13T22:34:32Z
dc.identifier.issn1326-0200
dc.identifier.urihttp://hdl.handle.net/1885/76167
dc.description.abstractBackground: General practitioner (GP) practices in Australia are increasingly storing patient information in electronic databases. These practice databases can be accessed by clinical audit software to generate reports that inform clinical or population health decision making and public health surveillance. Many audit software applications also have the capacity to generate de-identified patient unit record data. However, the de-identified nature of the extracted data means that these records often lack geographic information. Without spatial references, it is impossible to build maps reflecting the spatial distribution of patients with particular conditions and needs. Links to socioeconomic, demographic, environmental or other geographically based information are also not possible. In some cases, relatively coarse geographies such as postcode are available, but these are of limited use and researchers cannot undertake precision spatial analyses such as calculating travel times. Methods: We describe a method that allows researchers to implement meaningful mapping and spatial epidemiological analyses of practice level patient data while preserving privacy. Results: This solution has been piloted in a diabetes risk research project in the patient population of a practice in Adelaide. Conclusions and Implications: The method offers researchers a powerful means of analysing geographic clinic data in a privacy-protected manner.
dc.publisherPublic Health Association of Australia
dc.rightsAuthor/s retain copyright
dc.sourceAustralian and New Zealand Journal of Public Health
dc.titleProtecting the privacy of individual general practice patient electronic records for geospatial epidemiology research
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume38
dc.date.issued2014
local.identifier.absfor111717 - Primary Health Care
local.identifier.ariespublicationU3488905xPUB5040
local.type.statusPublished Version
local.contributor.affiliationMazumdar, Soumya, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationKonings, Paul, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationHewett, Michael, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationBagheri, Nasser, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationMcRae, Ian, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationDel Fante, Peter, Healthfirst Network
local.bibliographicCitation.issue6
local.bibliographicCitation.startpage548
local.bibliographicCitation.lastpage552
local.identifier.doi10.1111/1753-6405.12262
local.identifier.absseo920499 - Public Health (excl. Specific Population Health) not elsewhere classified
dc.date.updated2015-12-11T09:22:01Z
local.identifier.scopusID2-s2.0-84913610574
local.identifier.thomsonID000345825200012
dcterms.accessRightsOpen Access
CollectionsANU Research Publications

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