OPTIMIZING TELEHEALTH DEPLOYMENT USING DATA ANALYTICS TO IMPROVE HEALTHCARE ACCESS IN UNDERSERVED RURAL REGIONS

Abstract

In underdeveloped rural areas, access to high-quality healthcare is still severely hampered by infrastructure, financial, and geographic constraints. By offering remote medical treatments, telehealth has become a viable way to close this gap. In order to enhance healthcare access in these underprivileged regions, this study investigates how statistical analysis might maximize the utilization of telehealth. We create forecasting algorithms and optimal strategies using a combination of methods that includes gathering data on patient information, access, health outcomes, and distribution of resources. The findings show that data-driven deployment tactics could enhance quality of life, increase patient reach, and boost telehealth efficiency—all of which help policymakers and doctors make well-informed decisions.