What is the significance of the "Hierarchy of Selection Criteria" in EasySLR?

The Hierarchy of Selection Criteria in EasySLR plays a key role in ensuring consistency, clarity, and efficiency during the screening process in a systematic literature review.

What is the Hierarchy of Selection Criteria?

It is a predefined order of importance for applying inclusion or exclusion reasons when multiple criteria may be relevant to the same study. This hierarchy ensures that the most critical and relevant reason is consistently applied—whether by human reviewers or AI.

Why is It Important?

Minimises Ambiguity

With clear prioritisation, reviewers are guided to focus on the most significant reason for excluding a study, reducing confusion.

Improves Reproducibility

Applying the same decision logic across the board enhances transparency and makes the review process easier to replicate.

Supports Cleaner Data Analysis

Consistent exclusion reasons simplify downstream processes like PRISMA flowchart generation or reporting exclusion counts.

Reduces Bias

Helps avoid arbitrary or inconsistent exclusions by enforcing an objective order of evaluation.

Used by AI During Screening

EasySLR’s AI models also follow this hierarchy when screening studies and suggesting inclusion/exclusion decisions. This ensures that AI-generated decisions align with human decision logic and prioritisation, making its recommendations more accurate and trustworthy.

By using the hierarchy of selection criteria in EasySLR, teams can streamline their workflow, reduce inter-reviewer conflicts, and maintain high standards of accuracy, objectivity, and transparency throughout the review process.