Comprehensive Evaluation of AI-Driven Systems in Modern Hospital Environments

Artificial Intelligence (AI) is rapidly transforming hospital care by enhancing diagnostic accuracy, optimizing treatment plans, and improving patient outcomes. However, realizing AI's potential requires rigorous evaluation frameworks that ensure safety, effectiveness, and ethical use. This chapter presents a comprehensive approach to assessing AI-driven systems in modern hospital environments, covering clinical validation, outcome-based metrics, safety and risk management, bias and fairness, workflow integration, and regulatory compliance. Emphasizing transparency, accountability, and continuous post-deployment monitoring, the chapter guides healthcare professionals, developers, and policymakers in responsibly adopting AI technologies. Through multidisciplinary perspectives and real-world examples, it offers actionable insights to maximize AI benefits while safeguarding patient well-being and promoting equitable, trustworthy healthcare innovation.

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