· 18,315 records screened in six days
· 492 records included to the IMPROVE Knowledge Warehouse

The IMPROVE project has introduced the Screenathon – an innovative, AI-supported approach to large-scale literature screening and knowledge creation. Developed within the scope of IMPROVE, the Screenathon combines human expertise, crowdsourcing, and intelligent screening technologies to rapidly identify the most relevant scientific evidence from thousands of publications.

During the first Screenathon event, more than 12,000 scientific papers were screened within only two days by an international network of experts from academia, healthcare, and industry. Supported by the AI-powered tool ASReview, the Screenathon enables highly efficient and accurate title and abstract screening, significantly accelerating the creation of a robust and evidence-based Knowledge Warehouse for Value-Based Healthcare and Patient-Generated Health Data (PGHD).

The Screenathon has already proven to be one of IMPROVE’s most powerful exploitable results and is currently being adopted in other collaborative research initiatives. Beyond efficiency, the format also strengthens interdisciplinary collaboration, consensus-building, and knowledge exchange across international stakeholder communities.