Discussion highlights the need for physician-data science specialists to ensure proper model application in clinical settings, indicating enhancing safety in AI usage.
As complex AI systems become more common in clinical decision-making, a new type of physician-data science specialist is needed to bridge the gap between these AI tools and practicing clinicians. Analogous to how clinical pharmacists currently guide appropriate medication use and govern a hospital's formulary, this specialist would offer point-of-care guidance on AI tool selection and interpretation, and manage a hospital's AI systems. This role aims to enable safe and effective clinical AI by collaborating with patient-facing providers to ensure appropriate model application in the real world.
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Marwaha et al. (2025) studied this question.
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