van Gaans, D., Ahmed, S., D'Onise, K., Moyon, J., Caughey, G., and McDermott, R. (2016) Modelling medications for public health research. Online Journal of Public Health Informatics, 8 (2). e190.

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Abstract

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.

Item ID:	46129
Item Type:	Article (Research - C1)
ISSN:	1947-2579
Keywords:	medication, public health, modelling, data mapping
Additional Information:	Copyright ©2016 the author(s).This is an Open Access article. Authors own copyright of their articles appearing in the Online Journal of Public Health Informatics. Readers may copy articles without permission of the copyright owner(s), as long as the author and OJPHI are acknowledged in the copy and the copy is used for educational, not-for-profit purposes.
Funders:	Department of Health, Australian Government
Date Deposited:	19 Dec 2016 22:41
FoR Codes:	32 BIOMEDICAL AND CLINICAL SCIENCES > 3214 Pharmacology and pharmaceutical sciences > 321405 Pharmaceutical sciences @ 50% 42 HEALTH SCIENCES > 4206 Public health > 420605 Preventative health care @ 50%
SEO Codes:	92 HEALTH > 9204 Public Health (excl. Specific Population Health) > 920412 Preventive Medicine @ 100%
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