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2018 ; 7
(1
): 77
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Making progress with the automation of systematic reviews: principles of the
International Collaboration for the Automation of Systematic Reviews (ICASR)
#MMPMID29778096
Beller E
; Clark J
; Tsafnat G
; Adams C
; Diehl H
; Lund H
; Ouzzani M
; Thayer K
; Thomas J
; Turner T
; Xia J
; Robinson K
; Glasziou P
Syst Rev
2018[May]; 7
(1
): 77
PMID29778096
show ga
Systematic reviews (SR) are vital to health care, but have become complicated and
time-consuming, due to the rapid expansion of evidence to be synthesised.
Fortunately, many tasks of systematic reviews have the potential to be automated
or may be assisted by automation. Recent advances in natural language processing,
text mining and machine learning have produced new algorithms that can accurately
mimic human endeavour in systematic review activity, faster and more cheaply.
Automation tools need to be able to work together, to exchange data and results.
Therefore, we initiated the International Collaboration for the Automation of
Systematic Reviews (ICASR), to successfully put all the parts of automation of
systematic review production together. The first meeting was held in Vienna in
October 2015. We established a set of principles to enable tools to be developed
and integrated into toolkits.This paper sets out the principles devised at that
meeting, which cover the need for improvement in efficiency of SR tasks,
automation across the spectrum of SR tasks, continuous improvement, adherence to
high quality standards, flexibility of use and combining components, the need for
a collaboration and varied skills, the desire for open source, shared code and
evaluation, and a requirement for replicability through rigorous and open
evaluation.Automation has a great potential to improve the speed of systematic
reviews. Considerable work is already being done on many of the steps involved in
a review. The 'Vienna Principles' set out in this paper aim to guide a more
coordinated effort which will allow the integration of work by separate teams and
build on the experience, code and evaluations done by the many teams working
across the globe.