Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/113543
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Type: Journal article
Title: VetCompass Australia: A national big data collection system for veterinary science
Author: McGreevy, P.
Thomson, P.
Dhand, N.
Raubenheimer, D.
Masters, S.
Mansfield, C.
Baldwin, T.
Magalhaes, R.
Rand, J.
Hill, P.
Peaston, A.
Gilkerson, J.
Combs, M.
Raidal, S.
Irwin, P.
Irons, P.
Squires, R.
Brodbelt, D.
Hammond, J.
Citation: Animals, 2017; 7(10):74-1-74-15
Publisher: MDPI AG
Issue Date: 2017
ISSN: 2076-2615
2076-2615
Statement of
Responsibility: 
Paul McGreevy, Peter Thomson, Navneet K. Dhand, David Raubenheimer, Sophie Masters, Caroline S. Mansfield, Timothy Baldwin, Ricardo J. Soares Magalhaes, Jacquie Rand, Peter Hill, Anne Peaston, ID, James Gilkerson, Martin Combs, Shane Raidal, Peter Irwin, Peter Irons, Richard Squires, David Brodbelt and Jeremy Hammond
Abstract: VetCompass Australia is veterinary medical records-based research coordinated with the global VetCompass endeavor to maximize its quality and effectiveness for Australian companion animals (cats, dogs, and horses). Bringing together all seven Australian veterinary schools, it is the first nationwide surveillance system collating clinical records on companion-animal diseases and treatments. VetCompass data service collects and aggregates real-time, clinical records for researchers to interrogate, delivering sustainable and cost-effective access to data from hundreds of veterinary practitioners nationwide. Analysis of these clinical records will reveal geographical and temporal trends in the prevalence of inherited and acquired diseases, identify frequently prescribed treatments, revolutionize clinical auditing, help the veterinary profession to rank research priorities, and assure evidence-based companion-animal curricula in veterinary schools. VetCompass Australia will progress in three phases: (1) roll-out of the VetCompass platform to harvest Australian veterinary clinical record data; (2) development and enrichment of the coding (data-presentation) platform; and (3) creation of a world-first, real-time surveillance interface with natural language processing (NLP) technology. The first of these three phases is described in the current article. Advances in the collection and sharing of records from numerous practices will enable veterinary professionals to deliver a vastly improved level of care for companion animals that will improve their quality of life.
Keywords: companion animals; canine; feline; equine; disease surveillance; veterinary; electronic patient record; epidemiology; big data
Description: Published: 26 September 2017
Rights: © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
RMID: 0030076402
DOI: 10.3390/ani7100074
Appears in Collections:Animal and Veterinary Sciences publications

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