Strategies to Design and Implement Equity-Informed Health Information Networks: Reflections from Health Equity Experts Focus Groups (Preprint)

BACKGROUND Health information networks (HINs) are often the first stop for people seeking to understand medical conditions. When enhanced with artificial intelligence (AI), these platforms have the potential to make a positive impact on health decision-making. OBJECTIVE Effective HINs must ensure that AI-generated summaries are based on reputable sources, that the platform content is regularly updated, external links are intact, and new research is integrated in a timely manner as science evolves. METHODS We conducted a qualitative study using semi-structured focus group interviews with eight key health equity experts from rural communities, immigrant populations, and those with disabilities. The goal was to explore considerations for embedding health equity principles into the design and implementation of HINs. RESULTS Focus groups identified four key themes that are essential for advancing health equity within AI-powered HINs: (1) Account for platform accessibility, (2) engage communities across all phases of development, (3) build in trustworthiness to avoid biases, and (4) make health information actionable. CONCLUSIONS Our study highlights the importance of integrating health equity principles into the development of AI-powered HINs to address existing disparities and promote inclusive access to healthcare resources. By prioritizing accessibility, community engagement, trustworthiness, and actionable information, platform developers can create HINs that leverage emerging technologies and empower users to make informed decisions about their health and well-being.