Uses machine learning to automatically prioritize relevant studies based on your inclusion/exclusion criteria, learning from your screening decisions to improve accuracy over time.
Extracts key information from PDFs and other document formats using natural language processing, populating customizable data extraction forms with study characteristics and outcomes.
Guides users through each step of the systematic review process according to PRISMA guidelines, automatically generating flow diagrams and ensuring methodological transparency.
Provides team management tools for distributing screening tasks, resolving conflicts, tracking progress, and maintaining version control across multiple reviewers.
Exports extracted data in formats directly compatible with meta-analysis software like RevMan, Stata, R, and SPSS, with automated data transformation where needed.
Automates risk of bias assessment using standardized tools like Cochrane's RoB 2 or ROBINS-I, with AI assistance in evaluating study quality indicators.
Medical researchers and public health professionals use Systematic Review Accelerator to conduct rapid evidence reviews for clinical guideline development. The tool helps process thousands of medical studies efficiently, extracting treatment outcomes, adverse events, and patient characteristics. This accelerates the production of evidence-based guidelines while maintaining methodological rigor required for healthcare decision-making.
PhD students and academic researchers employ the platform to conduct systematic reviews for dissertations and publications. It helps manage the overwhelming volume of literature, ensures PRISMA compliance, and facilitates collaboration between supervisors and students. The automated features allow researchers to focus on analysis rather than administrative tasks, significantly reducing time-to-completion for academic projects.
Pharma companies use the tool to conduct systematic reviews for drug development and regulatory submissions. It helps aggregate evidence on drug efficacy, safety profiles, and comparative effectiveness across multiple studies. The platform's audit trail and compliance features support regulatory requirements while accelerating evidence synthesis for internal decision-making and external submissions.
Government agencies and policy organizations utilize Systematic Review Accelerator to inform evidence-based policy decisions. The tool processes diverse evidence sources to identify effective interventions, assess program impacts, and evaluate policy alternatives. Its ability to handle large volumes of gray literature and government reports makes it particularly valuable for comprehensive policy reviews.
Research teams use the platform to conduct rapid evidence scans for grant applications. It helps identify research gaps, synthesize existing evidence, and build compelling literature reviews to support funding proposals. The efficiency gains allow researchers to respond quickly to funding opportunities with well-supported, evidence-based proposals.
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