Healthcare IT News January 31, 2025
Glenn Wasson, administrator of analytics at the health system and a doctor of computer science, discusses a dialog between providers and vendors that can highlight sources of risk that must be understood to govern AI within an enterprise.
Evaluating vendors’ AI technologies within an AI governance framework is of critical importance in a healthcare environment, many experts say. Vendor-provided tools must be safe, effective and ethical to provide the best outcomes for all patients.
As part of a governance structure there should be an effective system for understanding and evaluating risks associated with AI systems in clinical use. This approach defines four categories of risk and a grading system to assess the risk in each category.
These categories are:
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