Article type
Year
Abstract
Background and
Discussion and
Methods:
Enabling evidence-based healthcare will depend on the availability of high-quality, up-to-date clinical resources. Synthesis of multiple resources in a systematic review can summarize the effects of individual outcomes, with a certain degree of confidence, and provide numerical answers about the effectiveness of interventions. Filtering of searches is time-consuming and no single method fulfills the principal requirements of speed with accuracy. Automation of systematic reviews is driven by a necessity to expedite the availability of current best evidence for policy and clinical decision-making. Rayyan (rayyan.qcri.org) is a web and mobile app that aims to provide an end-to-end platform to expedite the creation of systematic reviews using text-mining, machine-learning, database, and software engineering techniques. It is built on top of a cloud-based multi-tier service-oriented elastic architecture. We will present the basic architecture of Rayyan, how users interact with the app both on the web and on mobile devices, and results from an ongoing survey.Discussion and