DistillerSR
DistillerSR helps research teams manage literature reviews, screen studies, extract data, resolve reviewer conflicts, and organize scientific evidence with AI-powered tools and reporting.
DistillerSR is a cloud-based systematic literature review platform developed by Evidence Partners. It helps researchers manage large volumes of scientific and clinical literature through tools for study screening, data extraction, evidence synthesis, and collaboration. The platform uses AI-assisted workflows to reduce manual research tasks and improve the consistency of systematic reviews. It is designed for pharmaceutical companies, medical device manufacturers, government agencies, healthcare researchers, and academic institutions that need structured and traceable evidence management. Its features also support regulatory documentation and audit requirements.
How DistillerSR Works
DistillerSR organizes systematic literature reviews into a structured workflow, from importing research references to generating final reports.
- Import research references: Import citations collected from external databases such as PubMed, Embase, and Scopus. DistillerSR identifies duplicate references to help keep the research library organized.
- Set up review workflows: Create customized screening forms with inclusion and exclusion criteria. You can also configure data extraction forms based on the information required for your review.
- Screen research studies: Reviewers assess titles and abstracts to determine which studies meet the selection criteria. AI-assisted screening learns from reviewer decisions and can prioritize potentially relevant articles.
- Extract and verify data: Use extraction tools to collect information from selected full-text papers. The platform can flag disagreements between reviewers and link AI-generated extraction results to their source passages for verification.
- Generate reports: Organize the final evidence and create reports, including PRISMA flow diagrams, to document the review process and support research submissions.
How We Rated DistillerSR
We evaluated DistillerSR based on its literature screening, duplicate detection, AI-assisted data extraction, reviewer collaboration, conflict management, reporting, and audit trail capabilities. We also considered its learning curve, pricing, external database requirements, and suitability for different research projects. This assessment is based on available product information and user feedback rather than independent hands-on testing.
Pros
- Reduces manual work through AI-assisted screening and data extraction.
- Maintains detailed audit trails for transparent research documentation.
- Supports duplicate detection and reviewer conflict management.
- Allows geographically distributed teams to collaborate.
- Links extracted information to original source passages for verification.
Cons
- Enterprise-level pricing may be expensive for individual researchers.
- The extensive features create a learning curve for beginners.
- Requires researchers to import references from external databases.
- AI-generated extraction results need human verification.
- May be unnecessarily complex for small or one-time literature reviews.
- Academic researchers: Manage systematic reviews and evidence-based research projects.
- Pharmaceutical companies: Review clinical evidence and support regulatory research.
- Medical device manufacturers: Organize scientific evidence for product evaluation and regulatory submissions.
- Healthcare researchers: Analyze clinical studies and medical literature.
- Government agencies: Manage large-scale evidence reviews and research assessments.
- Research institutions: Coordinate systematic reviews involving multiple researchers and reviewers.
- Evidence synthesis teams: Screen studies, extract data, and maintain transparent review records.
DistillerSR helps research teams manage complex systematic reviews through structured workflows and AI-assisted analysis.
- Speed up literature screening and data extraction.
- Maintain consistent review decisions and audit trails.
- Manage disagreements between multiple reviewers.
- Verify extracted information against original research papers.
- Generate structured reports for evidence-based research.
DistillerSR's Key Features
Automatically identifies and removes duplicate research references.
Uses AI-assisted screening to prioritize relevant studies.
Supports customizable screening and data extraction forms.
Extracts research information from full-text PDF documents.
Links extracted answers to relevant passages in source documents.
Identifies disagreements between reviewers and supports conflict resolution.
Uses Smart Chat to query research evidence and compare findings.
Generates reports and PRISMA flow diagrams.
Maintains audit trails and review histories.
Provides CuratorCR for storing and reusing previously extracted evidence.
Pricing
Free Plan
Free
Disclaimer: for the latest and most accurate pricing, please visit the official DistillerSR website.
Frequently Asked Questions
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