Daily Briefing

How doctors are using AI to save time on prior authorization


Writing for the New York Times, Teddy Rosenbluth explains how some doctors are turning to generative artificial intelligence (AI) to streamline the prior authorization process and "operate at the same level as companies that have essentially infinite resources." Advisory Board's Mallory Kirby analyzes the impact on plan-provider dynamics and outlines the importance of strong plan-provider partnerships.

Doctors turn to AI to reduce prior authorization burden

Prior authorization was designed by insurance companies to rein in the use of unnecessary and expensive treatments to keep healthcare costs down. However, doctors say they cannot keep up with the amount of documentation and paperwork required by insurers for prior authorization.

According to a survey from the American Medical Association (AMA), doctors and their staff spend an average of 12 hours a week submitting prior authorization requests. Many doctors also say that the process is burdensome and negatively impacts patient health.

"If you want to see a physician go apoplectic at a cocktail party, mention prior authorizations," said Robert Wachter, the chair of the medicine department at the University of California, San Francisco.

To reduce the burden of prior authorization, some doctors are now turning to generative AI to write their request letters or appeal denials.

"We haven't had legislative tools or policymaking tools or anything to fight back," said Azlan Tariq, who has a rehabilitation medicine practice in Illinois. "This is finally a tool I can use to fight back."

According to Tariq, the time he spends on prior authorization has been halved since he started using Doximity GPT, a HIPAA-compliant version of the chatbot. The tool, which uses information from his patients' medical records and insurers' coverage requirements, has also made his letters more successful.

Before using AI, Tariq said that only around 10% of his prior authorization requests were approved by insurers. Now, around 90% of his requests are approved.

Generative AI has also helped doctors at small practices appeal prior authorization denials. In the AMA survey, almost half of doctors said that when they didn't appeal a claim denial, it was partly because they didn't have the time or resources to go through a lengthy appeals process.

Michael Albert, an obesity medicine specialist in Oklahoma, said that AI has allowed his small telehealth practice to go from almost never appealing denials to sending 10 to 20 appeals per week. AI has helped his practice "operate at the same level as companies that have essentially infinite resources," Albert said.

Could prior authorization become an AI 'arms race'?

According to Rosenbluth, some experts are concerned that the prior authorization process could become an AI "arms race" as both insurance companies and physicians use the technology to draft letters about coverage.

Although AI is still primarily used by individual doctors, companies are also trying to make the technology more mainstream. For example, Epic, one of the largest EHR companies in the United States, is testing an AI prior authorization tool among a small group of physicians. Several major health systems are also currently piloting Doximity GPT.

Insurance companies are also looking for ways to use AI in their processes. According to Jeff Levin-Scherz, a health policy expert at the Harvard T.H. Chan School of Public Health, most health plans are likely at least evaluating how to use AI in their claims review process, if they haven't been using them already.

Separately, Chris Bond, a spokesperson for AHIP, said that insurers welcome ways to streamline the prior authorization process, including those involving the "appropriate use of A.I."

As doctors use AI to write prior authorization letters more quickly, Wachter said he had "tremendous confidence" that insurance companies would also use AI to get better at denying these requests.

"You have automatic conflict," Wachter said. "Their A.I. will deny our A.I., and we'll go back and forth."

According to Wachter, he hopes that, in the future, more advanced AI technology will help insurers and providers create a new system that relies more on automation than just sending letters back and forth.

For example, insurance coverage could be automatically approved based on AI analyzing the most up-to-date scientific literature. An AI tool could also notify doctors that an expensive drug they're about to prescribe could be substituted with a cheaper, but similarly effective medication.

For now, doctors are using AI to have a new, albeit potentially temporary, foothold over insurance companies when it comes to prior authorization, Rosenbluth writes.

"It is definitely an A.I. race," Tariq said, "but I think it wouldn't be fair if the physicians didn't have A.I." (Rosenbluth, New York Times, 7/10)


Advisory Board's take

AI and automation: Navigating the shift in plan-provider dynamics 

By Mallory Kirby

As the Times article notes, the denials and prior authorization burden has pushed providers to be more assertive in how they engage with health plans, from contracting disputes to unique applications of AI.  

Automation and AI — used to some extent by most plans and increasingly by providers to push back on plan decisions — will increasingly play a key part in plan-provider dynamics. However, we don't see AI as a universal solution or threat.  

Let's consider plan activity to date to paint a more complete picture of the role of AI in prior authorizations and utilization management (UM) moving forward. 

How are plans currently using AI and automation?

Health plan capabilities around AI and automation vary widely from plan to plan, with use cases like automated approvals for prior authorizations becoming the new status quo.  

We're seeing plan-provider platforms streamline data exchange to enable autofill forms from EHRs, machine learning prompts for additional medical records or inaccurate coding, and real-time data exchange and communication. Plans are investing in technology that offloads their own administrative burden while generating useful and timely data.

What's the crux of the problem with AI and prior authorizations?

Despite valid provider frustrations, most plans we talk to do not use AI for automatic denials. We've found this to be true for two reasons. 

  • Most plan and provider interactions lack the interoperability or automation algorithms to initiate a truly "instant" denial. 
  •  Even among more tech-savvy organizations, most health plans we've interviewed recognize they can automate approvals for requests that clearly follow medical policy, but that additional review by an appropriate clinician is necessary for denials.

The prospect of automatic denials further straining providers' administrative workload and potentially delaying care for patients is concerning. However, most plans and providers we talk to are more concerned about securing appropriate financial and technological investments to keep pace with interoperability and data exchange in the future. In fact, 33% of prior authorizations are still fully manual — a data point that only decreased one percentage point from 2020 to 2022.

While some health plans have come under very public scrutiny for allegedly using automated denials, underlying tension in the plan-provider relationship and misalignment around UM is a more pervasive challenge.

How should plans and providers improve the UM process?

Our team's upcoming research is focused on an "ideal state" of UM defined by minimal provider abrasions, optimal quality outcomes, and affordability. Achieving this ideal requires plans to both improve tensions inherent to the prior authorization process and develop a UM system less dependent on prior authorizations.  

This future is dependent on trust and strong working relationships between plans and providers. In recent interviews, we've uncovered the top traits of strong plan and provider partners.

How can health plans be good partners in the eyes of providers?

  • Treat providers like good faith partners
  • Develop contracts that evaluate both health plan and provider performance
  •   Improve the prior authorization and claims process
  • Use timely and actionable data to help providers advance shared goals

How can providers be good partners in the eyes of health plans?

  • Submit claims accurately in a timely manner
  • Be willing to share data and develop a jointly useful data infrastructure
  • Demonstrate a commitment to shared quality and cost management goals

Strong plan-provider relationships and compatible data infrastructure allow plans and providers to target improvements related to specific pain points such as prior authorizations — and hopefully steer clear of additional hurdles in what can be a cumbersome process for both sides. (Experian Health blog, 8/3/2023)

To learn more about how plans and providers are navigating this shift, check out these related resources:

Kara Wall contributed to this reporting.


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