Featured Resources

McMaster-Screening Burden

Blog

Using DistillerSR’s AI, McMaster University’s NCCMT reduced its screening burden by over 75%.

5 Best Practices to Optimize your Systematic Literature Reviews, DistillerSR

eBook

Five best practices for screening and data extraction that help make the systematic review process faster, easier, and more accurate.

Medlior Case Study, DistillerSR

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, Bonnie Weiner, DistillerSR

Case Study

Dr. Bonnie H. Weiner describes the way DistillerSR reduced the time it took to complete CER literature reviews by approximately 30%.

Medlior Case Study, DistillerSR

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 Case Study, DistillerSR

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

NCCMT-Blog-DistillerSR

Blog

Using DistillerSR’s AI, McMaster University’s NCCMT reduced its screening burden by over 75%.

AI Repriotitization, DistillerSR

Blog

AI reprioritization reduces screening times by as much as 80%, according to one study.

Reduct Risk in AI Blog Post, DistillerSR

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 to Optimize your Systematic Literature Reviews, DistillerSR

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.

Literature Review Buyer's Guide, DistillerSR

Buyer’s Guide to Literature Review Software

Information to help you evaluate literature review software for CERs and pharmacovigilance. Includes a checklist.

Ultimate Guide to Systematic Reviews - DistillerSR

Ultimate Guide

Everything you always wanted to know about Systematic Literature Reviews can be found in this Ultimate Guide.

Solution Briefs

State of the Art, DistillerSR

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, Solution Brief, DistillerSR

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 Icon, DistillerSR

The Case for AI in Systematic Reviews

Learn how using AI can dramatically reduce your screening burden and produce faster, more accurate literature reviews.

Image for Solution Brief Literature Review Automation

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.

Check out our glossary

Check out our glossary