By Dr. Apurva Jain, Senior Manager, Product Management, IKS Health
LinkedIn: Dr. Apurva Jain
LinkedIn: IKS Health
The CMS-0057 Interoperability and Prior Authorization Final Rule released in January 2024 and implemented between January 2026 and January 2027 is a welcomed step in the modernization of prior authorizations (PA). In addition to new measures such as promoting and standardizing digital workflows for submissions, time boxing payer turnaround times, and providing transparency when denying requests, a focus on arguably the most valuable part of the whole process is being optimized: urging payers to revisit and reduce their list of services that require prior authorization.
Reducing the number of services that require prior authorization has the potential to create significant value for providers, payers, and patients. While digital workflows and faster turnaround times improve the authorization process, eliminating unnecessary authorizations altogether can have an even greater impact. Agentic AI-powered systems can help organizations navigate this complexity with greater speed, consistency, and confidence.
Recent news from trade group American’s Health Insurance Plans (AHIP) notes that leading health plans including Blue Cross Blue Shield have eliminated 11% of prior authorization requirements, representing 6.5 million fewer authorizations, and UnitedHealthcare has reduced PA requirements by 30%. These changes reflect a broader industry effort to reduce administrative friction while improving access to timely, evidence-based care.
The hidden value in knowing when prior authorization is NOT required
In most conversations about prior authorization, the focus is on four key areas:
- Where and how a request needs to be submitted
- Data point requirements to submit with the request
- What CPT codes typically trigger reviews
- How to get approvals as quickly as possible
Yet this addresses only part of the challenge. An equally important and often overlooked capability is determining if prior authorization actually needs to be submitted. In practice, accurately identifying when authorization is not required can unlock some of the most meaningful operational and patient experience improvements.
Healthcare teams often adopt a defensive approach, when in doubt, submit a PA to be safe and to avoid claim denials and revenue loss. However, this “better safe than sorry” mindset creates a different kind of problem: systematic over-submission, particularly when prior authorizations are required for only 2% of UnitedHealthcare medical services. Every unnecessary PA request consumes resources without generating meaningful clinical, operational, or financial value.
- Provider efficiency impact: The impact of avoidable submissions is more significant than it appears. Each prior authorization request involves multiple steps: verifying benefits, reviewing payer policies, gathering clinical documentation, filling out forms or navigating portals, and often following up with the payer. Even a single request can take considerable time. When multiplied across hundreds or thousands of cases, unnecessary PAs quietly consume a substantial portion of operational capacity. Every avoidable PA request carries a measurable cost in staff time, effort, and operational capacity. Reducing unnecessary submissions is one of the most direct ways to improve operational efficiency without compromising compliance or care quality. Organizations that consistently identify “no PA required” scenarios can improve workforce productivity, accelerate service delivery, and reduce administrative costs.
- Patient experience impact: Beyond internal operations, unnecessary prior authorizations can actively delay patient care. In many organizations, services are not scheduled or are postponed until authorization is confirmed. If a team incorrectly assumes that PA is required, patients may experience delays for approvals that were never needed in the first place. The result is delayed care, unnecessary patient frustration, and avoidable barriers to treatment.
- Payer ecosystem impact: There is also a broader system-level impact. Payers process enormous volumes of prior authorization requests daily. When providers submit requests that are not required, it adds noise to the system, slowing down processing times and increasing friction for all involved. In effect, unnecessary submissions don’t just affect one organization; they contribute to inefficiencies across the entire healthcare ecosystem.
This is where the importance of accurate prior authorization determination becomes evident. A mature PA process is not just about catching every scenario where authorization is required; it is about making confident, precise decisions about when it is not. The ability to return reliable yes/no decisions is what unlocks true efficiency. When done correctly, manual efforts are reduced, allowing teams to move forward immediately without hesitation or redundant checks, and ensures that decisions are consistent across teams and workflows.
Not a simple check box exercise
At first glance, determining whether a service requires prior authorization seems straightforward. “Does this service require prior authorization?” But the answer is rarely simple, and the challenge becomes significantly more complex when organizations manage hundreds of payer relationships, each with unique requirements and exceptions.
A single CPT code may:
- Require authorization for one payer but not another
- Require authorization only for certain places of services
- Depend on the member’s line of business
- Vary based on servicing provider network type
- Be exempt under delegated arrangements
- Follow state-specific mandates
- Be influenced by diagnosis combinations or frequency limitations.
The complexity is compounded by the fact that payer policies are constantly evolving. CPT requirements change frequently, medical necessity criteria evolve, delegated vendor relationships shift, portal requirements change, and state regulations continue to introduce new exceptions and mandates. A determination that was correct three months ago may already be outdated today.
When PA determination fails, the downstream impact is significant. Unnecessary prior authorization submissions mean administrative waste, increased operational cost, additional staff burden, longer scheduling cycles, and delays in patient care. On the other hand, failing to identify a required authorization can lead to claim denials, appeals and rework, and revenue loss.
Agentic AI systems outperform unscalable manual processes
For provider organizations, maintaining awareness across all payer changes becomes nearly impossible through manual tracking alone. Modern payer ecosystems evolve too quickly for manual approaches to remain reliable. Traditional workflows often rely on payer PDFs, portal searches, internal reference guides, and individual staff expertise, creating variability and increasing the risk of outdated decisions.
This is where AI-powered prior authorization intelligence can help organizations scale decision-making while maintaining accuracy and consistency.
Imagine reducing ambiguity and providing consistency to the highly fragmented world of prior authorization determination. Using agentic AI, it is possible to continuously track payer policy updates, interpret nuanced requirements across multiple variables, escalate exceptions for review, and continuously improve through operational feedback. Policies are automatically decayed after a defined interval, ensuring that determinations are always based on the latest available payer requirements. Most importantly, every determination must remain traceable to official payer sources, making the process transparent, auditable, repeatable, and far more scalable than manual decision-making.
It’s critical to submit only the right prior authorization requests in order to reduce administrative waste, improve staff productivity, accelerate care delivery, and enhance overall patient experience. In prior authorization, knowing when not to submit may be just as valuable as knowing when to submit.