| Understand the stakes
As artificial intelligence rapidly reshapes healthcare workflows, choosing theright type of AI for high-stakes healthcare processes has never been morecritical. There are strengths and limitations to using analytical, generative,and predictive AI in clinical and administrative settings, particularly priorauthorizations. Why is Gen AI not appropriate for PA?
Generative AI creates new content like text, images, or even synthetic databased on patterns learned from large datasets. Its strength liesinsummarization, drafting, and conversational interfaces. However, it is notsuited for decisions that require strict compliance or deterministic outcomes,as its outputs are probabilistic and difficult to trace or audit. Always choose Analytical AI for PA
Analytical AI provides a deterministic framework that ensures every decision istraceable, explainable, and auditable. Unlike generative or predictive models,which rely on probabilistic outputs, analytical AI applies structured rules andclinical evidence to deliver consistent, defensible outcomes. In the context of prior authorizations,analytical AI refers to the use of policy-aligned intelligence that evaluatesstructured clinical data, submitted at the point of care, against codifiedmedical policy to determine whether a service meets criteria for immediateapproval, pend for review, or escalate to a chief medical officer. —By MedCity Influencer Matt Cunningham | 
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