A hybrid deployment model for generative artificial intelligence in hospitals

Abstract

This paper analyzes challenges in deploying generative AI in healthcare, examining inadequate evaluation methods, vendor-provided use cases, and adaptation needs. We propose a hybrid framework that uses vendor models for non-medical applications while implementing hospital-managed infrastructure for clinical use cases. This approach balances innovation with patient safety, providing control over adaptation while mitigating biases, ensuring regulatory compliance, and maintaining long-term stability for sustainable healthcare integration.

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