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- PICO Framework -

Use AI-powered PICO detection
to instantly evaluate studies

Use the PICO framework to identify relevant studies
with clarity using natural language processing

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The Industry Challenge
  • Identifying relevant studies can be inconsistent across reviewers
  • Differences in interpreting research questions lead to variability
  • Lack of a structured framework introduces subjectivity
  • Makes the screening process more time-consuming and less reliable
How PICO Solves This
  • Provides a standardized framework for defining and evaluating studies
  • Keeps reviewers aligned on consistent research criteria
  • Reduces variability in study selection and interpretation
  • Improves focus and efficiency throughout the screening process

Capabilities

1 PICO Highlighting

Surface key study components instantly

Automatically highlight Population, Intervention, Comparator, and Outcomes within abstracts to make relevant information easier to identify.

2 PICO-Based Filtering

Narrow studies based on defined criteria

Filter studies using PICO terms to focus only on those that match your research question, reducing time spent reviewing irrelevant content.

3 PICO Insights

Adapt the framework to your specific research question

Combine Population, Intervention/Comparator and Outcome filters to narrow in on subsets of relevant data. Glean insights from the extracted bibliographic indices.  

4 Integrated Screening Workflow

Apply PICO throughout the review process

Use PICO during title and abstract screening to maintain consistency from initial review through final study selection and data extraction.

Align your workflow around a structured PICO framework

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