Authors: Sumanth Sai Krishna
Abstract: Artificial intelligence (AI) has revolutionized healthcare diagnostics by enabling faster, more accurate, and often less invasive disease detection. As AI-driven diagnostic tools become increasingly prevalent, assessing their economic impact is essential for healthcare providers, payers, and policymakers. This paper provides a comprehensive economic evaluation of AI diagnostic technologies, focusing on cost-effectiveness, budget impact, and value-based healthcare implications. It examines how AI tools influence healthcare costs, patient outcomes, workflow efficiencies, and access to care. Methodological approaches for economic evaluations, challenges in data collection and analysis, and case studies of successful AI diagnostic implementations are discussed. The paper also explores the broader systemic effects of AI diagnostics on healthcare delivery models, reimbursement strategies, and long-term sustainability. Ultimately, this evaluation underscores the potential for AI-driven diagnostics to deliver economic value while improving clinical outcomes and patient experiences.
DOI: http://doi.org/10.61137/ijsret.vol.8.issue6.566
