Systematic Review Screening Assistant

Systematic Review Screening Assistant helps you screen studies against inclusion and exclusion criteria with more consistency than manual skimming alone. It is built for review workflows where you need to decide whether a paper belongs in the dataset, and you want those decisions to be transparent and repeatable. This makes it valuable for systematic review teams, evidence syntheses, and annotated bibliographies.

The template asks the model to evaluate each record against your criteria, explain the decision, and identify missing information that prevents a final call. That is useful when screening abstracts, titles, or partial full texts because it prevents premature exclusion. It also helps teams maintain a shared rationale, which reduces disagreement across reviewers and makes reconciliation easier.

Customize the prompt with your criteria in {{INCLUSION_CRITERIA}}, exclusions in {{EXCLUSION_CRITERIA}}, and the record text in {{RECORDS}}. Add {{REVIEW_STAGE}} to indicate whether you are screening titles, abstracts, or full texts. If you need stricter triage, define {{DECISION_RULE}} so the model knows when to mark a paper as include, exclude, or unclear. The output is a decision log that can be copied into your review spreadsheet.