✦ Automated Data Extraction
Extract Study DataAutomatically
Full-text analysis extracts study design, PICO elements, outcomes, effect sizes, sample sizes, and risk-of-bias assessments into a structured table — ready for your meta-analysis.
Try Data Extraction FreeFull-Text Analysis
The system reads the entire paper — not just the abstract — to locate and extract precise data points.
Structured Output
Results are delivered in consistent, tabular format. Export to CSV or integrate directly into your meta-analysis.
Effect Size Detection
Automatically identifies and extracts odds ratios, risk ratios, mean differences, hazard ratios, and confidence intervals.
PICO Breakdown
Extracts Population, Intervention, Comparator, and Outcome details following Cochrane guidelines.
Risk-of-Bias Items
Identifies RoB-relevant content such as randomization methods, blinding, allocation concealment, and attrition.
Batch Extraction
Process dozens of included studies simultaneously. Monitor extraction progress in real-time.
Replace Spreadsheets Forever
Start extracting data from your included studies in seconds.
Get Started FreeWhy Automate Data Extraction?
Data extraction is the most time-consuming step of any systematic review. Each included study must be read in full-text to locate participant characteristics, study design, intervention details, outcome measures, effect sizes, and quality assessment items. For a typical review with 30–60 included studies, this takes a researcher 2–4 weeks of manual work.
BioClaritas vs. Covidence and DistillerSR
Covidence provides structured extraction forms but no automated assistance — every field must be filled in manually. DistillerSR offers limited auto-extraction with rule-based methods. BioClaritas reads each paper and populates extraction fields automatically, including effect sizes and risk-of-bias items, with full provenance tracking so you can verify every extracted value.