Blog | Covidence - Better systematic review management
Resources to save you time
Find helpful resources, insights and product updates to help you finish your review faster, with (hopefully) less stress.
The blog is still new and to support our community, so if you’d like us to cover a specific topic, let us know via X (formerly Twitter) @covidence with #blogtopic
From Three Months to One: Rebuilding a Systematic Review with Covidence
Dr. Angel Mukuka spends much of his time thinking about evidence – how it’s gathered, how it’s interpreted, and how confidently researchers can stand behind.
From spreadsheets to structured data: How Dr. Karla Krewulak uses Covidence from screening to data extraction
Dr. Karla Krewulak has spent much of her career working in evidence synthesis, supporting research that helps improve care for critically ill patients and their.
How to justify AI tools to institutions
Choosing an AI-enabled research tool is rarely a decision made by one person alone. A researcher selecting a platform for a review, a librarian recommending.
How Joshua made steady data extraction progress on 496 studies – with just two hours a night
Joshua wasn’t working on his review full-time. By day, he was training as a Doctor of Medicine – attending to patients, conducting clinical assessments, and.
What Does It Really Take to Build a Research Culture That Lasts?
In partnership with Times Higher Education, Covidence gathered a group of senior university leaders from across the Asia-Pacific region to tackle one of higher education’s.
AI won’t replace methods skills, it depends on them
As generating research becomes easier, validating research becomes more important. This may be the most important consequence of AI (automation) in evidence synthesis. Automation can.
How we evaluate AI models for evidence synthesis
Determining whether an AI feature is appropriate for evidence synthesis requires a structured approach. In a previous article, we introduced a decision matrix composed of.
Beyond evaluation: deciding when AI is appropriate in evidence synthesis
Automation (AI) is changing what is possible in evidence synthesis. Features that screen faster, extract data more efficiently and reduce manual workload are no longer.
Covidence supports research that is shaping the treatment of obesity
In recent years, few medical developments have drawn as much public attention as GLP-1 medicines for obesity, moving quickly from specialist clinical conversations to everyday.
How Covidence decides what AI to release (and what to hold back)
At Covidence, we invest heavily in research and development, exploring a wide range of automation (AI) approaches for evidence synthesis. Only a subset of that.