This study evaluates whether a generative artificial intelligence (AI) tool can improve the readability and accessibility of lay summaries derived from scientific medical abstracts. Many patients encounter difficulty understanding medical literature due to technical language and complexity, which can limit informed decision-making and engagement with healthcare information.
The BRIDGE-AI (Provider Perspective) initiative aims to address this gap by enabling healthcare professionals and researchers to generate patient-friendly summaries of scientific content using AI-assisted tools. The intervention leverages a generative AI framework (pub2people) designed to translate complex medical terminology into language that is understandable to a general audience.
In this randomized controlled study, participants with experience in scientific publishing will be assigned to either an AI-assisted group or a control group using conventional methods. Participants will be asked to transform scientific abstracts into layperson-friendly summaries. The study compares AI-assisted and manually generated outputs in terms of readability, accuracy, and efficiency.
The primary objective is to determine whether AI-assisted generation improves the readability of lay summaries compared to standard approaches. Secondary objectives include evaluating the accuracy of AI-generated summaries relative to source material and assessing potential time savings associated with AI use.
This study contributes to ongoing efforts to improve health communication by evaluating scalable tools that may enhance the translation of complex medical information into patient-accessible formats.
