About Evidence Partners
We’re Making a Difference
With Every Review We Automate
Literature reviews are a cornerstone of evidence-based research; however, they are often difficult to do, time-consuming, and error-prone. DistillerSR automates the management of literature collection, triage, and assessment using AI and intelligent workflows.
Literature reviews are a cornerstone of evidence-based research; however, they are often difficult to do, time-consuming, and error-prone without the solution. DistillerSR automates the management of literature collection, triage, and assessment using AI and intelligent workflows.
What do Smarter Reviews look like for our customers?
“Before DistillerSR, the literature review process was manual, laborious, and inconsistent. Reporting was difficult and we could not arrange the data in a way that was straightforward and organized.”
Dr. Bonnie H. Wiener
“If your search returns 100,000 references, DistillerSR can handle it. It makes my life a lot easier.”
Assistant Professor and Program Director, University of Florida
“DistillerSR provides us with the ability to easily assess the progress and scope of our projects in real-time, anticipate our clients’ needs, and develop strategic solutions for unique and shifting demands throughout any SLR project.”
Phd, Research Lead, Medlior Health Outcomes Research Ltd.
Building on a prototype developed by Dr. David Moher’s team at the CHEO Research Institute, Ian and Peter developed the first commercially available systematic review software. It was quickly embraced by a small but enthusiastic group of evidence-based practice centers, academic research groups, and NGOs in North America and Europe.
Systematic reviews rise in prominence as the backbone of evidence-based research. DistillerSR’s user community grows rapidly around the world, led by progressive researchers who appreciate how it reduces their workload and improves the transparency of their reviews.
Commercial organizations begin adopting DistillerSR to address their literature review challenges. DistillerSR is protocol-agnostic and meets the unique research goals and needs of the team using it.
DistillerSR enhances its automation capabilities with an AI Classifier Builder. The feature enables reviewers to create classifiers to identify and tag references, improving screening and triaging efficiency.