Modelling Medications for Public Health Research.

Deborah van Gaans, Sarah Ahmed, Katina D'Onise, James Moyon, Gillian Caughey, Robyn McDermott

Research output: Contribution to journalArticlepeer-review


Most patients with chronic disease are prescribed multiple medications, which are recorded in their personal health records. This is rich information for clinical public health researchers but also a challenge to analyse. This paper describes the method that was undertaken within the Public Health Research Data Management System (PHReDMS) to map medication data retrieved from individual patient health records for population health researcher’s use. The PHReDMS manages clinical, health service, community and survey research data within a secure web environment that allows for data sharing amongst researchers. The PHReDMS is currently used by researchers to answer a broad range of questions, including monitoring of prescription patterns in different population groups and geographic areas with high incidence/prevalence of chronic renal, cardiovascular, metabolic and mental health issues. In this paper, we present the general notion of abstraction network, a higher level network that sits above a terminology and offers compact and more easily understandable view of its content. We demonstrate the utilisation of abstraction network methodology to examine medication data from electronic medical records to allow a compact and more easily understandable view of its content.
Original languageEnglish
Article numbere190
Number of pages9
JournalOnline Journal of Public Health Informatics
Issue number2
Publication statusPublished - 17 Aug 2016
Externally publishedYes


  • Medications
  • Informatics
  • Public Health
  • Clinical data
  • Data Mapping


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