Evaluating a Customized Version of ChatGPT for Systematic Review Data Extraction in Health Research: Development and Usability Study.

Journal: JMIR formative research
Published Date: Aug 11, 2025

Abstract

BACKGROUND: Systematic reviews are essential for synthesizing research in health sciences; however, they are resource-intensive and prone to human error. The data extraction phase, in which key details of studies are identified and recorded in a systematic manner, may benefit from the application of automation processes. Recent advancements in artificial intelligence, specifically in large language models (LLMs) such as ChatGPT, may streamline this process.

Authors

  • Jayden Sercombe
    The Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Jane Foss Russell Building (G02), Level 6, Sydney, 2006, Australia, 612 8627 9380.
  • Zachary Bryant
    The Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Jane Foss Russell Building (G02), Level 6, Sydney, 2006, Australia, 612 8627 9380.
  • Jack Wilson
    The Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Jane Foss Russell Building (G02), Level 6, Sydney, 2006, Australia, 612 8627 9380.

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