AI-powered Data Extraction in EasySLR now supports multi-row data entry, enabling more flexible and detailed extraction for studies with repeated or multiple data points.

What’s changed

• AI can now populate and link multi-row fields in Data Extraction (DE) forms

• Supports studies reporting:

  • Multiple outcomes

  • Multiple time points

  • Multiple interventions or comparators

  • Repeated measurements within a single study

• Reduces the need for manual restructuring of extracted data into multiple rows

Important setup requirement

Data Extraction forms and tables must be configured by human reviewers before running AI

• Reviewers are responsible for:

  • Defining DE fields and table structures

  • Creating tables

  AI will extract data within the structure provided and will also add new fields if reported in the study

Why this matters

• Reflects real-world study designs more accurately

• Reduces manual data entry and post-extraction cleanup

• Improves consistency across reviewers and extracted datasets

• Speeds up extraction for complex studies with layered results

How it works

• AI identifies data points that require multiple rows

• Automatically populates extracted information into the pre-configured multi-row tables

• Reviewers can:

  • Review, edit, add, or delete rows

  • Validate extracted values before finalising

Best practices

• Design DE forms and tables carefully before initiating AI extraction

• Review AI-generated rows for accuracy and completeness

• Use Quality Control (QC) workflows to verify consistency

Important note on AI usage

• AI-assisted extraction is designed to support reviewers, not replace them

• All AI-generated outputs must be reviewed and approved by human reviewers