| dc.description.abstract | Mobile health (mHealth) applications offer significant potential to address healthcare
disparities in rural areas, where access to traditional healthcare is often limited or
unavailable. The effectiveness of these applications, however, relies heavily on the
delivery of context-sensitive content that aligns with cultural and individual usage
patterns. This study investigates the theoretical role of AI-driven content personalization
in enhancing the cultural relevance of mHealth applications, with a focus on rural Sri
Lanka. By examining critical cultural factors such as language preferences, literacy
levels, traditional healthcare practices, and community specific beliefs, the research
proposes a framework for dynamically tailoring health content to meet diverse user
needs. The anticipated outcomes of this approach include a 40% increase in user
engagement and a 35% improvement in adherence to health recommendations. These
projections are from findings identified in similar studies and applied to their contexts
of Sri Lankan environment. Furthermore, culturally tailored content is expected to
significantly enhance user satisfaction and improve the overall efficiency of digital
health interventions. This study emphasizes the transformative potential of AI-driven
personalization in bridging healthcare gaps and addressing inequalities in underserved
regions. The proposed framework also offers actionable recommendations for designing
and deploying culturally adapted mHealth solutions to serve rural populations on a
global scale. | en_US |
