Objective
The task force will develop good practice recommendations for the application of Generative AI for HEOR SLRs and a comprehensive reporting checklist.
Rationale
The development of good practice guidance on the use of Gen AI in SLRs is critically important to the HEOR community, as the rapid integration of AI into healthcare research presents both opportunities and challenges. Gen AI tools, such as large language models (LLMs), have demonstrated the potential to augment various stages of evidence synthesis, including search strategy development, data extraction, and report generation. However, these tools also introduce significant complexity, including the risk of generating fabricated content, inaccuracies, and inconsistent results, all of which could undermine the credibility of research outcomes.
Establishing an ISPOR Good Practices Task Force in this area will provide the HEOR community with critical guidance on how to responsibly integrate Gen AI into evidence generation. It will ensure that researchers and practitioners can leverage these powerful tools while maintaining the rigorous standards of research integrity that the field demands.