LitStream is a comprehensive tool developed by ICF to support the entire literature review workflow, from initial screening to data extraction and analysis. Designed for systematic reviews, LitStream enables collaborative efforts across multiple reviewers, providing detailed tracking, prioritization, and process transparency. LitStream uses AI-driven techniques, including supervised and unsupervised clustering, machine learning, and active learning models, to prioritize studies. This helps reviewers focus on the most relevant literature first, improving efficiency in large-scale reviews. The platform includes flexible data extraction forms and integrates visualization tools for real-time data analysis. These built-in visualizations (like bar charts and heat maps) enable reviewers to interpret and report findings without exporting data to external software.
LitStream is a comprehensive tool developed by ICF to support the entire literature review workflow, from initial screening to data extraction and analysis. Designed for systematic reviews, LitStream enables collaborative efforts across multiple reviewers, providing detailed tracking, prioritization, and process transparency. LitStream uses AI-driven techniques, including supervised and unsupervised clustering, machine learning, and active learning models, to prioritize studies. This helps reviewers focus on the most relevant literature first, improving efficiency in large-scale reviews. The platform includes flexible data extraction forms and integrates visualization tools for real-time data analysis. These built-in visualizations (like bar charts and heat maps) enable reviewers to interpret and report findings without exporting data to external software.
