Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/101405
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Type: | Journal article |
Title: | Modelling medications for public health research |
Author: | van Gaans, D. Ahmed, S. D’Onise, K. Moyon, J. Caughey, G. McDermott, R. |
Citation: | Online Journal of Public Health Informatics, 2016; 8(2):1-9 |
Publisher: | University of Illinois at Chicago Library |
Issue Date: | 2016 |
ISSN: | 1947-2579 1947-2579 |
Statement of Responsibility: | D. van Gaans, S. Ahmed, K. D'Onise, J. Moyon, G. Caughey, R. McDermott |
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. |
Keywords: | Medication; Public Health; Modelling; Data Mapping |
Rights: | 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. |
DOI: | 10.5210/ojphi.v8i2.6809 |
Published version: | http://ojphi.org/ojs/index.php/ojphi/article/view/6809 |
Appears in Collections: | Aurora harvest 7 Public Health publications |
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hdl_101405.pdf | Published version | 167.72 kB | Adobe PDF | View/Open |
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