Optimizing Cost-Effective Healthcare through Social Determinants of Health and Robust Data Engineering : Strategies for Enhancing Community Members' Health
DOI:
https://doi.org/10.32628/IJSRSET23103169Keywords:
Community Health, Community Health Data, Cultural Competency, Disease Prevention, Economic Stability, Education Access, Gender Disparities, Government Policy, Healthcare, Healthcare Costs, Housing Stability, Income Inequality, Poverty and Health, Public Health, SDOH, Social Determinants of Health, Value-Based CareAbstract
The rising healthcare costs requires innovative strategies to optimize cost-effectiveness while improving health outcomes. Among the core elements this article will be discussing are addressing social determinants of health and leveraging robust data engineering. This paper discusses how SDOH can be integrated into healthcare systems to enhance community health, using data-driven approaches with robust data engineering strategies that may improve health outcomes in a cost-effective manner. It helps health care systems to take advantage of advanced technological tools and integrated frameworks for tackling critical health disparities, improving population health, and reducing financial burdens. By synthesizing insights from already available literature, the paper presents innovative models that can enable the optimization of healthcare services.
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