Most health systems that fail at clinical AI adoption are not failing because the tool is bad. They are failing because they diagnosed the problem wrong before they ever touched a vendor pitch. In this episode, Dr. Sarah Matt breaks down the core misdiagnosis that derails AI implementation: health systems treat AI failure as a technology problem when the actual issue is a question problem. The organizations whose AI implementations succeed are not the ones with the best tools. They are the ones who learned to ask the right question first. Dr. Matt draws on direct clinical and advisory experience, including a session with ophthalmologists at SUNY Upstate, where she stopped a room full of smart physicians mid-conversation and asked them what framework their department used to evaluate whether an AI tool was safe for their workflow. The silence that followed is exactly the gap this episode addresses. What you will take away from this episode: - Why tool failure is almost always governance failure in disguise - Why 'should we use this AI tool?' is the wrong first question - The correct first question: do we have the framework to evaluate whether this tool is safe for our workflow? - Why physicians have authority in this conversation that they are not using - How getting the diagnosis right at the start saves 18 months of remediation Website: https://drsarahmatt.com | Book a conversation: https://calendly.com/sarahmattmd | LinkedIn: https://www.linkedin.com/in/sarahmattmd/

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Disclaimer:
The views expressed on this podcast are those of Dr. Sarah Matt and her guests. They do not necessarily reflect the official policy or position of any affiliated institutions. This content is for informational and educational purposes only and does not constitute medical advice or a professional consulting relationship.