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dc.contributor.authorMcGreevy, Paul
dc.contributor.authorThomson, Peter
dc.contributor.authorDhand, Navneet K.
dc.contributor.authorRaubenheimer, David
dc.contributor.authorMasters, Sophie
dc.contributor.authorMansfield, Caroline
dc.contributor.authorBaldwin, Timothy
dc.contributor.authorSoares Magalhaes, Ricardo J.
dc.contributor.authorRand, Jacquie
dc.contributor.authorHill, Peter
dc.contributor.authorPeaston, Anne
dc.contributor.authorGilkerson, James
dc.contributor.authorCombs, Martin
dc.contributor.authorRaidal, Shane
dc.contributor.authorIrwin, Peter
dc.contributor.authorIrons, Peter
dc.contributor.authorSquires, Richard
dc.contributor.authorBrodbelt, David
dc.contributor.authorHammond, Jeremy
dc.date.accessioned2021-01-06T23:06:36Z
dc.date.available2021-01-06T23:06:36Z
dc.date.issued2017en_AU
dc.identifier.urihttps://hdl.handle.net/2123/24243
dc.description.abstractVetCompass 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.en_AU
dc.language.isoenen_AU
dc.publisherMDPIen_AU
dc.relation.ispartofAnimalsen_AU
dc.rightsCreative Commons Attribution 4.0en_AU
dc.subjectcompanion animalsen_AU
dc.subjectcanineen_AU
dc.subjectfelineen_AU
dc.subjectequineen_AU
dc.subjectdisease surveillanceen_AU
dc.subjectveterinaryen_AU
dc.subjectelectronic patient recorden_AU
dc.subjectepidemiologyen_AU
dc.subjectbig dataen_AU
dc.subjectVetCompass Australiaen_AU
dc.titleVetCompass Australia: A National Big Data Collection System for Veterinary Scienceen_AU
dc.typeArticleen_AU
dc.subject.asrc0707 Veterinary Sciencesen_AU
dc.identifier.doi10.3390/ani7100074
dc.relation.arcLE160100026
usyd.facultySeS faculties schools::Faculty of Science::Sydney Institute of Veterinary Scienceen_AU
usyd.facultyUniversity of Melbourneen_AU
usyd.facultyUniversity of Queenslanden_AU
usyd.facultyUniversity of Adelaideen_AU
usyd.facultyMurdoch Universityen_AU
usyd.facultyCharles Sturt Universityen_AU
usyd.facultyJames Cook Universityen_AU
usyd.facultyRoyal Veterinary College, University of Londonen_AU
usyd.citation.volume7en_AU
usyd.citation.issue10en_AU
usyd.citation.spage74en_AU
workflow.metadata.onlyYesen_AU


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