DistillerSR
Modules
An ecosystem of advanced literature review capabilities that automatically imports newly published references, accelerates review screening and data extraction, synchronizes third-party data access, and centrally manages data for re-use.
DistillerSR Smart Evidence Extraction: SEE the Difference. Trust the Evidence
Designed for research professionals faced with time-consuming and error-prone data extraction processes, Smart Evidence Extraction (SEE) is a human-in-the-loop solution that uses purpose-built GenAI to reduce the time to extract data and improve the auditability of their reviews with linked evidence.
Increased Reviewer Productivity
Streamline the extraction process by finding, suggesting, extracting, and linking evidence, enabling reviewers to save time.
Intelligent Evidence
Synthesis
Leverage GenAI capabilities to provide sentiment analysis and text summarization of reference sources.
Context-aware Responses
Get more accurate answers and suggestions you need through a composite AI model that pre-processes reference PDFs to reduce GenAI creative responses.
Responsible AI Development
Adherence to the NIST AI Risk Management Framework ensures that all AI models used by DistillerSR are trustworthy, reliable, and meet the highest ethical standards.
DistillerSR CuratorCR: Always Accessible and Reusable
Integrated seamlessly with DistillerSR, CuratorCR is a research knowledge center that centrally and dynamically manages an organization’s evidence-based research, allowing you to continuously curate, share, update and reuse its data.
DistillerSR LitConnect: Auto-Import References
Automatically import newly published references, always keeping your literature reviews up-to-date.
Automatically import newly published references, always keeping your literature reviews up-to-date.
Automated
Updates
Eliminate end of review updates when your projects are constantly being kept up to date.
Living
Reviews
Effortlessly maintain your ongoing reviews with newly published references added automatically.
Data Provider
Agnostic
Leverage auto-alerts from your favourite data providers, including EBSCO, Ovid, and PubMed.
DistillerSR AI Classifier Manager
Cut literature review screening time by over 50% by automatically categorizing references.
Cut literature review screening time by over 50% by automatically categorizing references.
Accelerated
Pre-Screening
Start evaluating and extracting data from citations sooner by automatically pushing references to later stages of the review.
AI Quality
Control
Increase the thoroughness of your reviews by having classifiers operate in tandem with your reviewers to double-check how you’ve categorized citations.
Workload
Triage
Automate workload assignment management to fully leverage your subject matter experts and assign references to particular forms or reviewers sooner.
DistillerSR API Integrations
Synchronize literature review data seamlessly through DistillerSR and into your third-party reporting applications and databases.
Synchronize literature review data seamlessly through DistillerSR and into your third-party reporting applications and databases.
Reference
Libraries
Streamline your intake of references through your existing libraries directly into DistillerSR.
BI
Dashboards
Integrate external dashboards and get real-time insights on review progress and extracted data from DistillerSR.
Safety
Database
Automatically update your safety databases with information collected through literature triage.