5 benefits of automating prior authorizations

by Experian Health 5 min read June 24, 2024

5-benefits-of-automating-prior-authorizations (2)

If there’s one topic that’s sure to elicit groans from claims and billing teams, it’s prior authorizations. Despite promising improvements overall, Experian Health’s most recent State of Patient Access survey suggests that the efficient and timely management of prior authorizations remains a headache for providers, with 89% citing this as one of their top three improvement priorities in patient access. Obtaining pre-authorizations is time-consuming, often relying on antiquated manual systems that drag staff away from patient care. Ever-changing payer guidelines make an already frustrating process even more difficult. In this context, automating prior authorizations is an obvious choice for the 79% of providers who plan to invest in improving patient access in the near future.

Why are prior authorizations required?

Prior authorizations are when payers and providers determine in advance if the patient’s insurance plan will cover a particular drug, medical item or service. Providers submit information about the patient’s medical history and the rationale for the proposed treatment. The insurer evaluates this information and approves or denies the request. If a provider goes ahead without obtaining authorization, they are unlikely to be reimbursed for the cost of that care.

The intention is to ensure that tests and procedures are safe, effective and high-quality. It’s also a cost-control strategy, ensuring that expensive services are offered only to patients who really need them.

Why do prior authorizations get denied?

Insurers only approve prior authorization requests for treatment and services deemed medically necessary and aligned with their coverage policies. Authorization may be denied for several reasons: the treatment isn’t covered by the patient’s plan, the proposed treatment isn’t considered medically necessary, or alternative, less expensive treatments are available. Denials often result from simple paperwork errors, such as incomplete clinical documentation or missed deadlines.

Automating prior authorizations: an untapped opportunity

The prior authorization workflow involves some of the most time-consuming and expensive manual processes in the revenue cycle, making it an ideal use case for automation. Yet, according to the Council for Affordable Quality Healthcare (CAQH), only 31% of providers use electronic prior authorizations. This contrasts with much higher adoption rates for other transactions: 94% use automation for eligibility checks, 98% for claims submissions and 90% for coordination of benefits tasks.

With the amount spent on prior authorizations jumping by 30% between 2022 and 2023, switching to automated processes could save the industry hundreds of millions of dollars and many hours of staff time, among other benefits described below.

Here are 5 benefits of automating prior authorizations:

1. Prevent costly claim denials and rework

Without prior authorization, providers do not get paid. Failure to secure authorization was among the top three reasons for denied claims for almost half of the State of Claims 2022 survey respondents. Often, this is because the authorization does not cover all elements of a patient’s treatment, or the information included in the claim submission does not match the original documentation that was authorized.

With automation, it’s much easier to ensure that all codes, documentation and records are accurate and complete, reducing the risk of claim denials. Automation also gives payers and providers a shared view of account information, minimizing the need for prolonged discussions about the status of authorization and rework requests.

2. Access a central payer database that automatically syncs with changing payer rules

Revenue cycle management teams often struggle to keep track of changing payer requirements. Experian Health’s prior authorization knowledge base solves this by collating real-time updates to payer requirements. Staff can check what’s needed without needing to visit multiple payer websites and cross-check data by hand. Users also benefit from a guided, exception-based workflow, which notes whether submissions are pending, denied or authorized, and flags where manual intervention is required.

3. Improve operational efficiency

Almost four in ten providers find timely and efficient management of prior authorizations challenging. Automating prior authorizations reduces the manual burden on staff, so resources and time aren’t wasted on low-value activities. Providers can augment efficiencies by combining prior authorization software with other revenue cycle tools to create more coordinated and cost-effective processes.

On a webinar about how AI and automation reduce claim denials, Skylar Earley from Schneck Medical Center commented specifically on how AI Advantage was facilitating more efficient prior authorizations:

“[With AI AdvantageTM], we’ve seen the number of authorized outpatient visits increase by about 2.5%. For anyone that deals with prior authorizations and denials relating to prior authorizations, that’s incredibly promising. Billers feel like they’ve got another tool in their belt. For people who spend hours on the phone with insurance companies, fighting for dollars and claims we believe should be paid, any leg-up is a big deal.”

4. Prevent dangerous delays to care with faster prior authorizations

A 2022 survey by the American Medical Association showed that the authorization process leads to delayed and abandoned care and even severe adverse events, as patients and doctors wait to hear if paperwork is in order before proceeding with treatment.

Automating prior authorizations helps ensure patients don’t miss out on essential care because of administrative obstacles. Staff can shave an average of 11 minutes from each transaction, allowing them to initiate more authorizations in less time, and protect patients from the clinical consequences of rescheduling.

5. Deliver a better patient experience

Aside from these obvious and significant health effects, the prior authorization workflow also influences patient perceptions overall: in the State of Patient Access 2024, just over a quarter of patients said authorizations were the main reason they considered patient access to be better or worse than last year.

Automated prior authorizations free up staff to create a smoother clinical and financial experience for patients. Patients see their accounts processed quickly, with fewer errors and delays. When patients are certain that their insurer will cover their care, they can concentrate on their treatment rather than worrying about how and when it will be financed.

Find out how Experian Health’s automated prior authorizations help healthcare organizations get on the right path to reimbursement and make these benefits a reality in 2024.

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Key takeaways: Revenue cycle teams can use automation to reduce repetitive work and apply AI where data-driven prediction, matching or prioritization can improve a workflow. Experian Health’s 2025 State of Claims survey found that 41% of providers now face denial rates of 10% or higher, while 68% say submitting clean claims is more challenging than a year ago. Patient Access Curator™ (PAC) uses AI to support front-end data validation and insurance discovery, while AI Advantage™ helps teams predict denial risk and prioritize denial follow-up. Artificial intelligence (AI) and automation can support administrative work in healthcare. In the revenue cycle, teams depend on accurate information, timely decisions and efficient follow-up to keep claims moving. In revenue cycle management, AI and automation can help organizations reduce manual checks, find data gaps, predict denial risk and prioritize work queues. These tools are most useful when they support staff judgment, payer expertise and compliance oversight. They can handle repetitive, data-heavy tasks so staff can focus on exceptions and decisions that need human review. In 2023, McKinsey & Company reported that research suggests effectively deploying automation and analytics could eliminate $200 billion to $360 billion of spending in U.S. healthcare. For revenue cycle leaders, the practical question is where to apply those capabilities first. The case for applying AI and automation in healthcare Revenue cycle teams juggle many daily tasks. Staff collect and verify patient information, confirm eligibility, identify the right payer, submit clean claims, monitor status, work denials and manage collections. Small data gaps at the beginning of the process can create downstream rework and delays. Rework also consumes staff time, adding to these operational pressures. As costs rise and revenue cycles tighten, there is increasing pressure to do more with less. Experian Health’s 2025 State of Claims survey found that 54% of providers say claim errors are increasing and 90% of claim denials are reworked with at least some human review before resubmission. Providers are also managing broader financial and administrative pressures. The American Hospital Association has reported that prior authorization requirements, claim audits, denials and other payer policies add administrative burden and cost for hospitals and health systems. These requirements also consume staff time to appeal denials and manage payer processes. AI and automation are different but complementary. Automation follows defined rules to complete repeatable work. AI models can identify patterns in data, predict risk and help teams decide where to focus attention. When used together, they can support more consistent revenue cycle workflows. How AI and automation can support revenue cycle workflows Revenue cycle management automation and AI are most useful when tied to a specific workflow and a measurable operational problem. The goal is to help teams act earlier, reduce avoidable rework and focus staff time where judgment is needed most. For example, automation can complete rule-based eligibility checks. AI can help identify claims with a higher likelihood of denial. In insurance discovery workflows, AI can also help identify coverage that wasn’t captured at registration. When these tools fit into existing workflows, they can support more consistent decisions and reduce manual work. Three practical applications include: 1. Improving front-end data quality with Patient Access Curator Patient and coverage information collected early in the revenue cycle can affect downstream claim outcomes. 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Experian Health offers revenue cycle solutions that use AI and automation in targeted ways to support front-end data quality, reduce rework and manage denials. Patient Access Curator supports registration and coverage validation, while AI Advantage supports denial prediction and triage. Learn more about Experian Health’s Patient Access Curator and AI Advantage.

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