Buttressing the power of entity relationships model in database structure and information visualization: Insights from the Technology Association of Georgia’s Digital Health Ecosystem

Mbanugo, Olu James and Taylor, Andrea and Sneha, Sweta (2025) Buttressing the power of entity relationships model in database structure and information visualization: Insights from the Technology Association of Georgia’s Digital Health Ecosystem. World Journal of Advanced Research and Reviews, 25 (2). pp. 1294-1313. ISSN 2581-9615

The state of Georgia, with a population exceeding 10.7 million, is recognized for its robust economy, affordable living standards, and strong commitment to education. Ranked as the 11th fastest-growing state in the United States, Georgia is home to 18 Fortune® 500 and 32 Fortune® 1000 headquarters, housing some of the most innovative healthcare technology companies. As part of its mission to support economic growth and digital transformation, the Technology Association of Georgia (TAG), through its subsidiary, the TAG Digital Health Society, established the TAG Digital Health Ecosystem. This initiative serves as a centralized hub for digital health companies, fostering industry collaboration and innovation. However, the sheer volume of data required to maintain such a platform presents significant challenges in database structuring, data integrity, and information visibility. This study explores how the Entity-Relationship (ER) model can strengthen database structures and optimize information visualization for large-scale digital health platforms. By implementing an ER model, the TAG Digital Health Ecosystem ensures seamless data integration, efficient retrieval, and enhanced user experience for key stakeholders, including potential investors, healthcare providers, digital health companies, job seekers, and researchers. The ER model's ability to define clear relationships among entities enhances the system's navigability, reducing redundancy and improving data accessibility. Moreover, this research highlights best practices in ER modeling, emphasizing its role in improving decision-making, fostering industry partnerships, and supporting Georgia’s growing digital health sector. The findings underscore the importance of structured database frameworks in creating scalable and sustainable digital health infrastructures, ensuring long-term impact and usability.