Session (CTI)

The increasing complexity and volume of literature reviews (LR) necessitate efficient and scalable approaches to evidence synthesis. Automated tools, such as artificial intelligence-assisted screening and data extraction platforms, have the potential to streamline LRs by reducing time and labor, improving bias and reproducibility. However, it is crucial that appropriate human oversight, transparency and integration of existing research practices are incorporated when implementing such tools. This forum will explore the role of automation in LR with a concrete case study of a scoping review reporting the experience of using a commercially available evidence synthesis platform for an ongoing Health Equity Special Interest Group (HER SIG) project. The discussion will address the following key focus areas: • The role of automation in LR workflows, including study selection, data extraction, and synthesis. • Key challenges and limitations in adopting novel tools, such as transparency, validation, and integration with traditional methodologies and current LR practices. • Lessons learned from implementing automated tools in the scoping review for the "State of Play" project sponsored by ISPOR HER SIG. • Strategies to ensure best scientific practices while driving efficiency with human-in-the-loop approaches to automation, as well as appropriate oversight, controls, and implementation of AI tools into LR workflows. • Opportunities for broader adoption of LR automation tools in academic, regulatory and scientific organizations settings. The forum will adhere strictly to ISPOR’s Code of Conduct and Antitrust Guidelines. It will be an educational discussion without any promotional intent, ensuring an open and unbiased exchange of ideas. As part of the forum, we welcome perspectives from researchers, HTA assessors, data analysts, and industry stakeholders to collectively explore how automation can enhance the rigor and efficiency of literature reviews in HEOR.