Insights from Covidence

Published guidance, evaluations and research from the evidence synthesis specialists.

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Editor's picks

Chosen this month by our methods and community team

ebook

Responsible AI in evidence synthesis

Understanding the right tool to use when synthesising evidence is critical for the production of credible and impactful knowledge.

Inspired by the knowledge of hundreds of researchers, this guide can help you better understand some of the most commonly used types of literature reviews used in research, the purpose of these reviews and how to choose the right one.

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Understanding Review Types in Research

From Three Months to One: Rebuilding a Systematic Review with Covidence

Automation (AI) is changing what is possible in evidence synthesis.

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How to justify AI tools to institutions

How do you make an evidence-based case for AI tools at your institution? Explore the questions researchers and decision-makers need answered.

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Beyond evaluation: deciding when AI is appropriate in evidence synthesis

Explore how Covidence’s decision matrix weighs the consequences of errors, human oversight and model performance necessary for trusted AI use.

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Guides and papers

Webinar Wrap-Up: Essentials of Writing a Protocol for a Systematic Review

In this wrap-up document, we address the most insightful questions raised during the webinar, Essentials of Writing a Protocol for a Systematic Review.

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protocol ebook

Protocol Development for Systematic Reviews

This guide offers a comprehensive resource for crafting systematic review protocols.

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“Streamline data extraction with Covidence”

This conference poster highlights key updates to Covidence’s Extraction 1 tool, including a new PICO(T) template and flexible study extraction forms designed to streamline and optimize the systematic review process.

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“Untapped potential for systematic review software & automation…”

This poster highlights the rapid rise in systematic reviews and the underutilization of automation tools that could significantly reduce the time and resources needed for efficient evidence screening.

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Product Blog

Automation and AI

All blogs

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title and abstract screening

Title and abstract screening

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Should I register my review protocol?

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What’s the Difference Between Systematic Reviews and Rapid Reviews?

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4 Ways Covidence Makes Data Extraction Easy

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Key Updates to Covidence Data Extraction 1 Tool

Key Updates to Covidence Data Extraction 1 Tool

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The Empowering Librarians in Research Webinar Transcript!

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From Manual to Machine: How Covidence’s ML is Streamlining Systematic Reviews

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Data Extraction Communicate Regularly & Keep a Log for Reporting Checklists

Data Extraction Tip 5: Communicate Regularly

The Covidence Global Scholarship recipients are putting evidence-based research into practice. We caught up with some of the winners to discover the impact of their work and find out more about their experiences.

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Data Extraction: Extract the right amount of data

Data Extraction Tip 4: Extract the Right Amount of Data

The Covidence Global Scholarship recipients are putting evidence-based research into practice. We caught up with some of the winners to discover the impact of their work and find out more about their experiences.

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Data Extraction Pilot The Template

Data Extraction Tip 3: Pilot the Template

The Covidence Global Scholarship recipients are putting evidence-based research into practice. We caught up with some of the winners to discover the impact of their work and find out more about their experiences.

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Data Extraction Plan Ahead

Data Extraction Tip 2: Plan Ahead

The Covidence Global Scholarship recipients are putting evidence-based research into practice. We caught up with some of the winners to discover the impact of their work and find out more about their experiences.

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Data extraction tip 1 follow a framework

Data Extraction Tip 1: Follow a Framework

The Covidence Global Scholarship recipients are putting evidence-based research into practice. We caught up with some of the winners to discover the impact of their work and find out more about their experiences.

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