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

Soumya MAZUMDAR, Paul Konings, Nasser Bagheri, Ian McRae, Peter Fante

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

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
Original languageEnglish
Pages (from-to)548-552
Number of pages5
JournalAustralian and New Zealand Journal of Public Health
Volume38
Issue number6
DOIs
Publication statusPublished - 2014
Externally publishedYes

Fingerprint

Privacy
General Practice
Epidemiology
Software
Research
Public Health Surveillance
Databases
Clinical Audit
Geography
Spatial Analysis
General Practitioners
Decision Making
Research Personnel
Demography
Health
Population

Cite this

MAZUMDAR, Soumya ; Konings, Paul ; Bagheri, Nasser ; McRae, Ian ; Fante, Peter. / Protecting the privacy of individual general practice patient electronic records for geospatial epidemiology research. In: Australian and New Zealand Journal of Public Health. 2014 ; Vol. 38, No. 6. pp. 548-552.
@article{6603944885514ae097018091d63c0a44,
title = "Protecting the privacy of individual general practice patient electronic records for geospatial epidemiology research",
abstract = "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",
keywords = "reflecting the spatial distribution of patients with particular conditions and needs",
author = "Soumya MAZUMDAR and Paul Konings and Nasser Bagheri and Ian McRae and Peter Fante",
year = "2014",
doi = "10.1111/1753-6405.12262",
language = "English",
volume = "38",
pages = "548--552",
journal = "Australian and New Zealand Journal of Public Health",
issn = "1326-0200",
publisher = "Wiley-Blackwell",
number = "6",

}

Protecting the privacy of individual general practice patient electronic records for geospatial epidemiology research. / MAZUMDAR, Soumya; Konings, Paul; Bagheri, Nasser; McRae, Ian; Fante, Peter.

In: Australian and New Zealand Journal of Public Health, Vol. 38, No. 6, 2014, p. 548-552.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Protecting the privacy of individual general practice patient electronic records for geospatial epidemiology research

AU - MAZUMDAR, Soumya

AU - Konings, Paul

AU - Bagheri, Nasser

AU - McRae, Ian

AU - Fante, Peter

PY - 2014

Y1 - 2014

N2 - 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

AB - 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

KW - reflecting the spatial distribution of patients with particular conditions and needs

U2 - 10.1111/1753-6405.12262

DO - 10.1111/1753-6405.12262

M3 - Article

VL - 38

SP - 548

EP - 552

JO - Australian and New Zealand Journal of Public Health

JF - Australian and New Zealand Journal of Public Health

SN - 1326-0200

IS - 6

ER -