Puraite is an AI-supported platform for evidence synthesis. It takes systematic reviews from search to data extraction, with every value linked to its source.
Use Puraite from ChatGPT, Claude or Gemini.
Create projects, search, import and deduplicate records in plain language. Roles, blinding and audit trail stay intact.
Beta is open to first 100 people (FIRST COME FIRST SERVE). Register for early access: https://t.co/EEqnSwrmHv
Almost done with your SLR?
Let Puraite generate your PRISMA 2020 flow diagram automatically, track AI transparency with PRISMA-trAIce, and export in multiple formats.
How do you handle PRISMA diagrams?
#EvidenceSynthesis#SystematicReview#AIinResearch
Doing a systematic review at university? Puraite is free for academic teams. Screening, data extraction and every decision documented in one place, with each extracted value linked back to its source passage. https://t.co/gOzV0h7e9r
@ISPORorg For HEOR to shape real-world decisions, the evidence behind each model input has to be traceable. Does the commentary say how reviewers should document where each value came from?
@JBIEBHC Search is where AI errors are hardest to catch later: a missed study never shows up in screening. Did the teams in the blog keep a librarian peer review of AI-suggested search strings?
One abstract, several key questions. With multi-PICO screening in Puraite, you decide per PICO set, each with its own exclusion reason, or for all sets at once. Each abstract is read once, in title/abstract and full-text screening.
DM us for a demo. #EvidenceSynthesis
HEOR extraction schemas live in Excel, so every variable needs a column and every extra study arm needs a new tab. Puraite builds that schema from your protocol, an upload, or a template, and then links every value back to its passage. Available in the app and via API.