VUCA, Health, and Biostatistics: India's Challenge
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Abstract
In a world, increasingly characterized by Volatility, Uncertainty, Complexity, and Ambiguity (VUCA), health systems, especially in developing countries, face significant operational and strategic challenges. This article explores how health economics, supported by biostatistics and data science, can help navigate these challenges. Using India as a case study, we examine the stress points in health financing, data infrastructure, and policy implementation. We propose a systems-thinking approach leveraging data-driven models, predictive analytics, and cost-effectiveness evaluations to build resilient and inclusive health systems. The findings underscore the crucial need for integrated, context-specific strategies to achieve health equity and efficiency in a VUCA environment.
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