Developing AI-Driven Community Health Dashboards for Real-Time Disparity Analysis and Intervention

Abstract

Leverage AI opportunities dynamic Tools for Addressing Health disparities and Interventions AI in Healthcare .This paper discusses the development and implementation of such dashboards intelligently designed, AI driven community health dashboards that allow for real-time health disparity analysis for timely and data informed interventions. Using machine learning, predictive analytics, and natural language processing, these dashboards compile and present data from a variety of sources, such as electronic health records, social determinants of health, and community surveys. The modeled system allows for the ongoing tracking of disparities by demographic group, geographic region, and socioeconomic stratum. Initial results showed that these dashboards have the potential to improve decision making, guide resource allocation and address health inequities. We address challenges, such as data privacy, algorithmic bias, and infrastructural gaps, while proposing strategies for ethical and equitable implementation.