About
Trial Innovation Network (TIN) Collaborative Webinar:
Presenters: Cathy Shyr, PhD from the Recruitment Innovation Center (RIC).
Timely and effective return of aggregate study results plays an essential role in informing the public about clinical findings to promote trust and transparency in the research process. This session will discuss the approach of leveraging OpenAI’s ChatGPT-4 to generate lay summaries and implementing them on ResearchMatch, a national clinical study recruitment registry, to enable cost-effective and scalable return of study results.
The speaker will describe the process of operationalizing this approach, including prompt engineering, study design, and rigorous evaluation of researchers’ and volunteers’ perception of AI-generated summaries. In addition, the speaker will share lessons learned, including opportunities and challenges of using AI to enhance research accessibility and transparency.