Zero-Shot Relevance Ratings Prioritize High-Yield Studies

The platform uses AI models to rate each reference's relevance to your review question without requiring a training set. This enables reviewers to start screening the most promising records immediately, making the initial phases of a systematic review significantly more efficient.

Business outcome: Reviewers can include or exclude studies up to 80% faster by focusing on the most relevant references first.

Randomized Subset Assignment Balances Team Workload

Rayyan automatically divides the screening workload among team members, ensuring that each reviewer sees a unique, randomized subset of references. This design supports the independent, blinded screening required for high-quality systematic reviews and prevents bias.

Business outcome: Team leads can manage large-scale screening projects with confidence in the reliability and fairness of the review process.

Automated Deduplication Handles Up to 200,000 References

The platform automates the detection and removal of duplicate records from multiple databases, a process that is notoriously time-consuming and error-prone. This feature allows teams to clean their initial search results in minutes, not days.

Business outcome: Eliminates manual data cleaning, ensuring the integrity of the review's evidence base and saving significant project time.

One-Click PRISMA Diagram Generation for Compliance

Rayyan automatically generates the PRISMA flow diagram, a mandatory component of most systematic review publications. The tool tracks the number of records identified, screened, excluded, and included, populating the diagram with accurate data.

Business outcome: Streamlines the publication process by automating a required reporting element, reducing the risk of errors and formatting delays.

AI Analyzer Provides Instant Insight into Excluded Studies

This feature analyzes the reasons for exclusion and provides a high-level overview of the screening decisions. It helps researchers understand the landscape of their search results and identify potential gaps in their review question or search strategy.

Business outcome: Provides a data-driven summary of the screening process, strengthening the methodology section of the final report.

Mobile Access Enables Screening from Anywhere

The platform offers a mobile app, allowing reviewers to screen references and make decisions from their phones or tablets. This flexibility is crucial for research teams with distributed members or those who need to use short blocks of time effectively.

Business outcome: Increases overall project throughput by enabling continuous progress regardless of a reviewer's physical location.

• Accelerated ScreeningThe AI relevance ratings are a genuine time-saver, allowing teams to prioritize the most promising studies and make inclusion decisions faster.
• Robust CollaborationThe randomized assignment and blinding features are designed for methodological rigor, making it a trusted tool for high-stakes reviews.
• Automated Administrative TasksDeduplication and PRISMA generation are significant time-savers that reduce manual errors and speed up the path to publication.
• Accessible Free TierThe free plan is not a useless trial; it is a functional tool that is sufficient for many smaller reviews and student projects.

• Advanced AI is GatedThe most powerful AI features, such as the ResearchPilot agent, are exclusive to high-cost institutional plans, which may be prohibitive for small teams.
• Not a Data Extraction ToolRayyan is for screening, not for extracting and synthesizing data from included studies; teams will need other software for the full review process.
• Learning Curve for New UsersWhile intuitive, the platform has a learning curve for researchers unfamiliar with systematic review software, requiring an initial time investment.
• Professional RealityThe platform's value is directly tied to the scale of the review; for a small, focused review with under 500 references, the time saved may not justify the setup effort.

Large-Scale Clinical Meta-Analysis

A medical research team screening 15,000+ records from multiple databases can use Rayyan's deduplication and AI ranking to quickly reduce the workload to a manageable set of full-text papers.

PhD Literature Review

A doctoral candidate can use the free plan to organize and screen hundreds of references for their thesis, leveraging the collaboration features to get feedback from their supervisor.

Corporate Evidence-Based Strategy

A consulting firm or corporate research unit can use Rayyan to conduct a systematic review of market data or policy documents, ensuring their recommendations are based on a comprehensive and unbiased evidence base.

Cochrane-Style Review Group

A collaborative group of researchers across different institutions can use the platform to manage a complex review with multiple reviewers, ensuring blinding and conflict resolution are handled correctly.

Create a free account on the Rayyan website and set up your researcher profile.

Create a new review and define your research question and inclusion/exclusion criteria.

Import your references from databases like PubMed, Scopus, or Web of Science using the built-in import tools.

Run the deduplication feature to clean your library, then use the AI ranking to start screening the most relevant references first.