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Rayyan is a 100% FREE web application to help systematic review authors perform their job in a quick, easy and enjoyable fashion. Authors create systematic reviews, collaborate on them, maintain them over time and get suggestions for article inclusion.
This workshop targets current and potential Rayyan’s users. These are people who are involved in the production of systematic and other types of reviews and are interested in using automation to help expedite their work. Rayyan is already being used by more that 6000 users (physicians, faculty, researchers, students, librarians, information specialists, project manager, etc.) from all over the world and growing. We expect many of the Summit attendees will be interested in Rayyan and learning more about it.
Enabling evidence-based healthcare depends on the availability of high-quality, up-to-date clinical resources. Disseminating these resources in a timely fashion requires efficient sharing, evaluation, and analysis of all relevant primary research and, ultimately, its distillation into systematic reviews. Rayyan aims to provide an end-to-end platform for automating the creation of systematic reviews, making the process faster and more accurate. Rayyan enables rapid citation screening via online contemporaneous sharing of decisions by reviewers, supported by a proven machine-learning algorithm, signiﬁcantly reducing the time required to complete preliminary ﬁltering of searches. It permits individualised labelling of reviewers’ agreements/disagreements against inclusion criteria and provides real-time automatic suggestions for studies to be considered for inclusion using an eÿcient machine-learning algorithm. Risk-of-bias analysis and data extraction from full texts are additional features that are being planned. Participants will learn how to create reviews, upload multiple search results using different citation formats, invite collaborators, manage duplicates, use facets, e.g. word cloud, keywords for exclusion/inclusion, and authors, to navigate through the citations, exclude/include studies, understand Rayyan’s suggestions, navigate the studies using the similarity graph, copy and export reviews, and upload full text PDFs. Attendees should bring laptops, tablets or smart phones.