AI and Prior Authorization: What Practices Are Learning
How Practices Are Using AI for Prior Authorization (and Where It Still Needs Help)
Many practices are starting to use AI tools built into their EHR to help with prior authorization processing. These tools can speed up the process of summarizing clinical notes and drafting initial language for submissions. For busy offices, that time savings is real.
However, most practices are finding that the AI draft is rarely ready to submit as-is. Payers still expect documentation that clearly maps to their specific medical necessity criteria, and AI tools often miss nuances that lead to denials or requests for additional information.
What AI currently does well
Pulls key details from existing notes and imaging reports
Creates a structured first draft of clinical summaries
Reduces the time staff spend starting from a blank page
Where gaps remain
Payer-specific requirements are not always reflected accurately
Important details (failed conservative treatment, functional limitations, exact imaging findings) can be incomplete or generalized
Coding or laterality mismatches sometimes appear in the draft
The language may not align with what a particular plan’s reviewers expect
How practices are closing the gap
The most effective approach right now is using AI for the initial draft, then having someone with prior authorization experience review and refine it before submission. This review step typically focuses on:
Confirming the documentation supports the requested service under the payer’s guidelines
Adding or clarifying missing clinical details
Ensuring consistency between the notes, codes, and requested procedure
Practices that add this review layer tend to see fewer avoidable denials and less back-and-forth with payers, while still benefiting from the speed of the AI draft.
Practical takeaway
AI tools inside the EHR are helpful for reducing administrative time, but they work best as a starting point rather than a finished product. A short expert review of the output remains one of the most reliable ways to improve approval rates without adding significant staff burden.
At ConsultStar, we support practices that are already using AI tools within their EHR. We review and refine the generated documentation so it aligns with payer-specific criteria, helping reduce avoidable denials while keeping the process efficient. Learn more about our prior authorization services or contact us to discuss your current workflow.
