cs.IRMar 6, 2026

OpenExtract: Automated Data Extraction for Systematic Reviews in Health

Authors: Jim Achterberg, Bram Van Dijk, Jing Meng, Saif Ul Islam, Gregory Epiphaniou, Carsten Maple, Xuefei Ding, Theodoros N. Arvanitis, 

Organizations: Leiden University Medical Center, The Netherlands · Leiden Institute of Advanced Computer Science, Leiden University, The Netherlands · University of Warwick, UK · School of Engineering, University of Birmingham, UK · 

Abstract

This study presents OpenExtract, an open-source pipeline for automated data extraction in large-scale systematic literature reviews. The pipeline queries large language models (LLMs) to predict data entries based on relevant sections of scientific articles. To test the efficacy of OpenExtract, we apply it to a systematic literature review in digital health and compare its outputs with those of human researchers. OpenExtract achieves precision and recall scores of > 0.8 in this task, indicating that it can be effective at extracting data automatically and efficiently. OpenExtract: https://github.com/JimAchterbergLUMC/OpenExtract.

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