Health Informatics And Social Determinants Utilizing Big Data To Address Health Disparities

Abstract

The persistent issue of health disparities, characterized by unequal healthcare access and varied health outcomes among different population groups, remains a significant global concern. In response, the convergence of big data analytics and health informatics has emerged as a promising avenue for comprehending and mitigating these disparities. This research study explores the multifaceted landscape of harnessing extensive healthcare data sources, encompassing electronic health records (EHRs), wearable devices, and the determinants of social health, to unveil fresh insights and innovative strategies. The research delves into the ethical considerations related to data privacy and security, emphasizing the necessity for robust ethical frameworks in the era of big data. Moreover, it underscores the crucial role of interdisciplinary cooperation, uniting experts from diverse domains such as data science, healthcare, social sciences, and policymaking to fully exploit the potential of this transformative approach. The findings highlight the capacity of big data to provide an all-encompassing perspective on health disparities, facilitating precise predictions and customized interventions. The paper also introduces original concepts, including dynamic risk profiling, culturally sensitive models, and fortified data security through blockchain, inviting further research and practical implementations. In conclusion, the amalgamation of big data and health informatics holds the potential to reshape healthcare delivery and promote health equity. It represents a collective endeavor transcending disciplinary boundaries, with the goal of not just comprehending but actively dismantling health disparities in the future.