
TechRxiv
A preprint server for health sciences.

The premier comprehensive systematic review software for evidence-based healthcare research.

JBI SUMARI (System for the Unified Management, Assessment and Review of Information) is a specialized SaaS platform designed by the Joanna Briggs Institute to facilitate the entire lifecycle of systematic reviews. Architecturally, it is built to support the 10 distinct types of reviews recognized by JBI, including qualitative, quantitative, and scoping reviews. The platform's 2026 market position is solidified by its integration of standardized critical appraisal tools and a proprietary meta-analysis engine that automates statistical synthesis for researchers. Unlike general-purpose data analysis tools, SUMARI is technically optimized for high-fidelity evidence synthesis, ensuring compliance with global reporting standards like PRISMA. It provides a collaborative environment where multi-disciplinary teams can conduct blinded screening, rigorous critical appraisal using validated JBI instruments, and complex data extraction. By 2026, it remains the gold standard for healthcare institutions, academic libraries, and policy-making bodies that require verifiable, audit-ready research outputs. Its technical value proposition lies in the reduction of manual error during meta-aggregation and the streamlining of the path from protocol development to final manuscript generation.
JBI SUMARI (System for the Unified Management, Assessment and Review of Information) is a specialized SaaS platform designed by the Joanna Briggs Institute to facilitate the entire lifecycle of systematic reviews.
Explore all tools that specialize in perform meta-analysis. This domain focus ensures JBI SUMARI delivers optimized results for this specific requirement.
Explore all tools that specialize in synthesize research evidence. This domain focus ensures JBI SUMARI delivers optimized results for this specific requirement.
Explore all tools that specialize in meta-analysis. This domain focus ensures JBI SUMARI delivers optimized results for this specific requirement.
Includes 13 validated JBI critical appraisal checklists integrated directly into the workflow for bias assessment.
A built-in statistical engine capable of performing fixed-effect and random-effects meta-analysis.
Supports the assembly of findings from qualitative studies into categorized themes.
Allows two or more reviewers to independently screen studies with conflict resolution workflows.
User-defined field generation for structured data harvesting from primary studies.
Hard-links the study protocol to the active project to prevent post-hoc bias.
Automates the creation of GRADEpro-compatible tables for evidence certainty assessment.
Create a JBI account and purchase an individual or institutional subscription.
Initialize a new project and define the specific review type (e.g., Qualitative, Scoping, or Prevalence).
Develop and document the research protocol within the Protocol Builder module.
Import literature citations using RIS or BibTeX file formats from external databases like PubMed or CINAHL.
Configure the 'Study Selection' criteria for blinded screening by multiple reviewers.
Execute the 'Critical Appraisal' phase using JBI’s standardized checklist instruments.
Customize the 'Data Extraction' forms based on specific research questions and variables.
Perform 'Data Synthesis' using the meta-analysis engine for quantitative data or meta-aggregation for qualitative findings.
Generate high-resolution Forest Plots or Summary of Findings tables.
Export the completed review report and data tables for journal submission.
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Verified feedback from other users.
"Highly regarded for its methodological rigor and specific alignment with JBI standards. Users find it more comprehensive than RevMan for qualitative data."
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A preprint server for health sciences.

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