Integrating visualization tools with accurate, timely, and complete health data provides a solid foundation to understand patterns, trends, and relationships across data elements which may not be visible in standard or tabular formats. A Geographic Information System is a computer-based system that creates, edits, manages, analyzes, and visualizes data. Advances in GIS technology expand its capability to incorporate all types of data, including non-spatial disparate datasets utilizing the healthcare ecosystem. GIS also plays a significant role in integrating artificial intelligence, data mining, and high-performance computing – creating the geospatial artificial intelligence or GeoAI. Some use cases of GeoAI in health care are data enrichment, location-based recommendations, engineering of new AL/ML features using spatial data, and using AL/ML for geospatial dataset. Since the population's health and geographic locations are substantially connected, geographic tools can significantly improve the quality and efficiency of health services delivery. GIS applications are critical in health care planning, policy development, program management and implementation, and emergency response. Using real-time and near-real-time GIS-based visualization and dashboarding tools significantly improves public health response and communications. GIS allows the health systems leadership, public health workforce, and health care providers to effectively plan and implement interventions and conduct surveillance activities by monitoring disease transmission, conducting contact tracing activities, identifying community resources, performing community health needs assessments, communicating health implications to the community, transforming community engagement, and increasing uptake of healthcare services. GIS can display and analyze geographically referenced data originating from healthcare organizations such as electronic case records), electronic medical records, or syndromic surveillance from emergency rooms, for example. Analyzing these time-sensitive datasets together using GIS helps reveal relevant patterns and trends that can be used to act more efficiently for targeted mitigation activities and improved health outcomes. Modern GIS solutions support other health informatics domains, including information system planning, health data standards implementation, data exchange and integration, data privacy and security applications, systems design, and data reporting. GIS is also widely used in health informatics and epidemiology methods such as health risks analysis, healthcare access patterns, health inequity, and community health profiling. Additionally, GIS offers superior functions of spatial visualization, data integration, epidemiological analysis, resource allocation and management, and early warning systems for biosurveillance activities. Maximus Public Health partners with federal, state, and local health care and public health organizations to identify and establish modernize workflows and business models, focusing on transitioning data systems and data collection, management, and exchange from the pre-pandemic infrastructure state to a modern, efficient, response-ready state. We utilize GIS and AI to develop mapping models and data visualization tools to support timely, reliable, and high-quality data visualization in health services programs and public health threats. We assisted our partners in planning and implementing programs focused on promoting health equity and interventions within high-priority communities and populations. GIS is a data-driven decision-making tool that offers valuable insights to enable officials to make decisions based on better, aggregated data in formats that are easier to understand, communicate, and make actionable for population health improvement.