Innovative machine learning as a positive driver for digital disruption through automation in systematic review management: a review of available tools and their utilisation in Australia
VALA2020 CONCURRENT SESSION 11
Wednesday 12 February 2020, 15:25 – 15:50
Sarah McQuillen
- Academic Librarian, Division of Health Sciences
- University of South Australia Library
Kasthuri Anandasivam
- Academic Support Librarian, Division of Health Sciences
- University of South Australia Library
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Abstract
Librarians at the University of South Australia (UniSA) investigated systematic review (SR) software that incorporate machine learning technologies. The aim was to compare the capabilities of the University’s current tool ‘Covidence’ with alternatives used in Australia, to improve efficiencies during SR workflows. Quantitative and qualitative methods were used to identify over 180 tools, many designed to accelerate a single task only. Covidence and ‘Distiller’ were found to offer the broadest range of features. As Covidence has been more widely adopted by Australian libraries, the authors conclude that ongoing access to Covidence is useful for cross-institutional SR conduct in Australia.
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