This brief explores how healthcare organizations can build AI platforms that are scalable, trustworthy, and defensible in a highly regulated environment. It emphasizes the importance of high-quality, representative data; transparent and explainable models; and strong governance frameworks to ensure compliance, safety, and ethical use. The document outlines key architectural principles, including modular design, secure data pipelines, human-in-the-loop validation, and continuous monitoring to mitigate bias and drift. IQVIA highlights how combining domain expertise with advanced analytics and robust validation enables AI solutions that deliver sustained clinical and commercial value while meeting regulatory and stakeholder expectations.

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