Featured Resources
Blog
Using DistillerSR’s AI, McMaster University’s NCCMT reduced its screening burden by over 75%.
eBook
Five best practices for screening and data extraction that help make the systematic review process faster, easier, and more accurate.
Case Study
With as many as 40,000 references per project, Medlior, used DistillerSR to more accurately and efficiently manage their literature reviews.
Stay in Touch With Our Quarterly Newsletter
Stay in Touch With Our Quarterly Newsletter
Case Studies
Case Study
Dr. Bonnie H. Weiner describes the way DistillerSR reduced the time it took to complete CER literature reviews by approximately 30%.
Medlior
With as many as 40,000 references per project, Medlio, used DistillerSR to more accurately and efficiently manage their literature reviews.
University of Florida
Learn how DistillerSR enables the University of Florida to screen more than 60,000 references and makes life for its research team a lot easier.
Blog
Blog
Using DistillerSR’s AI, McMaster University’s NCCMT reduced its screening burden by over 75%.
Blog
Learn about three low-risk, big reward ways to use Artificial Intelligence in your literature review process
Webinars
Webinar
Best Practices For Building An Efficient Literature Review Process
Webinar
Rise of the Robots 2.0: Real Talk About Artificial Intelligence In Systematic Reviews
Webinar
Best Practices for Regulatory Compliant Literature Reviews
Guides
5 Best Practices for Optimizing Your Systematic Reviews
Five best practices for screening and data extraction that help make the systematic review process faster, easier, and more accurate.
Buyer’s Guide to Systematic Review Software
Everything you need to know to evaluate systematic review software for your next project. Includes a checklist.
Buyer’s Guide to Literature Review Software
Information to help you evaluate literature review software for CERs and pharmacovigilance. Includes a checklist.
Ultimate Guide
Everything you always wanted to know about Systematic Literature Reviews can be found in this Ultimate Guide.
Solution Briefs
Hierarchical Data Extraction
Understand common approaches to handling repeating data sets and explores an efficient method to deal with recurring, hierarchical data sets.
State of the Art
Gain an understanding of the meaning of “state of the art” and learn how to establish sound methods to identify and select pertinent literature.
The Case for AI in Systematic Reviews
Learn how using AI can dramatically reduce your screening burden and produce faster, more accurate literature reviews.
How Literature Review Automation Improves CER and PER Program Management
Automated literature reviews provide greater levels of auditability and program management to CER and PER submissions.
Methodological Resources
Commentary
Commentary
Assessment
Assessment
Check out our glossary
Check out our glossary