Modelling Medications for Public Health Research.

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.

Managing Aboriginal and Torres Strait Islander Data for Public Health Research.

Good quality data on Aboriginal and Torres Strait Islander peoples are needed to assess the effectiveness of programs and interventions, and to evaluate policies that are designed to improve the status of, and service delivery to, Aboriginal and Torres Strait Islander peoples. Due to the lack of longitudinal data it is difficult to gain knowledge on the specific causes or consequences of changes in indigenous outcomes. Variables such as name, date of birth and address for Aboriginal and Torres Strait Islanders may be subject to more variation and be less consistently reported than other Australians. Improving the collection and management of key identifying variables for Aboriginal and Torres Strait Islanders are key to providing more quality information on this population group.