Regulations, public health guidelines, medical best practices and public policy development should be based on high-quality and timely evidence. The structured literature review is the cornerstone of evidence-based research and decision making. The challenge with conventional literature reviews is that they can be time consuming, difficult to manage, and prone to errors.
Using highly customizable workflows, powerful team management features, and fully integrated artificial intelligence (AI), DistillerSR allows researchers and users to convert raw literature and references into actionable scientific-grade evidence in less than half the time of conventional methods.
Join this event as we showcase public health examples to illustrate how integrated AI is used by government organizations to collect, screen and extract data from references to produce high-quality, reproducible evidence for policy and guideline development.
Video: CSPS Data Demo Week: Leveraging Data to Track Public Health Research
Learn more about the series CSPS Data Demo Week.
- Alejandra Jaramillo Garcia, Manager, Evidence Synthesis and Knowledge Translation Unit / Science Policy Unit, Public Health Agency of Canada
- Peter O'Blenis, Chief Executive Officer, Evidence Partners
- Derek Lord, Solution Engineer Team Lead, Evidence Partners
Taki Sarantakis, President, Canada School of Public Service