Supplementary material: Bridging the patient gap: exploring generative AI to support meaningful patient involvement in health technology assessment

<p dir="ltr"><b>These are peer-reviewed supplementary materials for the article</b><b> </b><b>'</b><b>Bridging the patient gap: exploring generative AI to support meaningful patient involvement in health technology assessment</b><b>'</b><b> </b><b>published in the</b><b> </b><b><i>Journal of Comparative Effectiveness Research</i></b><b>.</b></p><ol><li>Front Page Information</li><li>What condition is this medicine to be used for?</li><li>How is this condition currently managed in the UK?</li><li>How does the medicine work?</li><li>How effective is this medicine and is it different from other medicines currently available to treat this condition?</li><li>How is the medicine administered and how will this affect patients and carers?</li><li>What are the side-effects of this medicine and how are they managed?</li><li>What is the quality of life impact of this medicine on patients and their carers?</li></ol><p dir="ltr">Patient and public involvement in health technology assessment (HTA) has progressed from best practice to policy requirement, yet communication barriers persist. This perspective explores how plain language summaries (PLSs) and summaries of information for patients (SIPs) can enhance equity and transparency in HTA. Building on recent European regulatory developments and emerging research, it discusses the balance between accessibility, quality and feasibility. Generative artificial intelligence offers the potential to scale PLS and SIP production, but its responsible integration requires oversight, collaboration and a continued focus on equity and patient-centeredness within evolving HTA frameworks.</p>