Assistant Professor The University of Illinois Urbana Champaign
This study evaluates AI-powered health education apps, focusing on app quality, accessibility, and inclusivity. While apps from governments and major institutions scored higher in quality, they often featured complex text. The study emphasizes the need for inclusivity, clear language, and regulatory standards to ensure equitable access for all populations.
Learning Objectives:
At the end of this session, attendees should be able to:
Upon completion, the participant will be able to describe the key factors influencing the quality and accessibility of AI-powered health education apps, including content design, readability, and the availability of paid features.
Upon completion, the participant will be able to evaluate the inclusivity of AI-driven health education apps, focusing on how they address diverse populations in terms of race, gender, and socio-economic factors.
Upon completion, the participant will be able to propose strategies for improving the accessibility and effectiveness of AI-powered health education apps, ensuring equitable access and promoting health equity across underserved communities.
