Vernier Review runs the whole review workflow, from search and import through deduplication, screening, full text and extraction, aligned with PRISMA methodology.
Communication skills are commonly taught with simulated patients, which is resource-intensive. We randomised 96 students to an immersive VR scenario or an SP encounter and crossed over after two weeks. Non-inferiority of VR was shown.
Vernier Review makes it easy for you to produce an accountable manuscript. Every review project saves its searches and decisions in a non-destructive, reconstructable manner. Stats and facts are compiled automatically from the underlying data.
“Title and abstract screening was performed independently by two reviewers in Vernier Review v1.34.3 (https://vernier.one); conflicts were resolved by a third reviewer.”
All review work starts with diligent literature search. Develop and track your database search strings in Vernier Review.
Based on your search results, Vernier Review performs intelligent deduplication based on DOI, PMID, or fuzzy title, author and year matching.
At least two reviewers or reviewer teams are needed for blinded screening. Vernier Review queues conflicts for a third reviewer to resolve. In solo mode, a single reviewer can perform the entire workflow.
Have large language models (LLMs) provide screening decision suggestions on your sources. Vernier Review will have each AI decision approved by a reviewer. The authors retain final responsibility.
Vernier Review generates flow diagrams, search appendices and included-studies tables directly from the project state. They can be copied and pasted straight into the manuscript.
The entire project state and history can be exported from Vernier Review. That way, authors can provide the entire workflow data as externally auditable supplemental material when publishing a manuscript.