A Hybrid Deployment Model for Generative Artificial Intelligence in Hospitals
(2025) Machine Learning: Health — Vol. 1, n° 1, p. 1 (2025)
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- 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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Citations
Griot, M., Hemptinne, C., Vanderdonckt, J., & Yuksel, D. (2025). A Hybrid Deployment Model for Generative Artificial Intelligence in Hospitals. Machine Learning: Health, 1(1), 1. https://doi.org/10.1088/3049-477X/addb51 (Original work published 2025)