Episode Overview

Title: Real-Time Prior Authorization at the Point of Care: Abridge CEO Dr. Shiv Rao
Podcast: Becker’s Healthcare Podcast
Guest: Dr. Shiv Rao, CEO and Founder of Abridge
Host: Molly Gamble
Date: September 4, 2025

This episode focuses on Abridge's new real-time prior authorization solution, launched in partnership with Highmark and Allegheny Health Network (AHN) in Pittsburgh. Dr. Shiv Rao discusses the significance of moving prior authorization upstream and making the process more active and intelligent using AI—effectively aiming to reduce administrative friction, improve care, and deliver value to both clinicians and payers.

Key Discussion Points & Insights

1. Significance of the New Partnership and Technology ([00:00]–[03:31])

• Expansion & Breakthrough

  • Abridge recently expanded its presence, adding over 50 health system partners this year.
  • The partnership with Highmark and AHN marks a breakthrough: launching real-time prior authorization activated at the point of care.

• Three Strategic Pushes at Abridge

  • Enterprise Grade: Serving clinicians across specialties and care settings, including emergency and inpatient departments.
  • Contextual Reasoning Engine: Pulling and synthesizing information from medical records, textbooks, coding manuals, and more.
  • Active vs. Passive Support:
    “We’re starting to demonstrate to the market that Abridge is moving from largely being a passive experience…to being active when it makes sense, being more assistive when it makes sense.” —Dr. Shiv Rao [01:56]

• Shifting Left

  • Moving workflows upstream to address bottlenecks at the earliest point: the actual patient-clinician conversation.

2. The Persistent Prior Authorization Problem ([03:31]–[06:45])

• Regulatory and Policy Context

  • Prior authorization burdens are rising, especially in Medicare Advantage (MA) plans.
  • Legislation and federal initiatives (across both administrations) have aimed to address this, but health system leaders often see little practical improvement.

• Limits of Legislation vs. Tech

  • “There's been promises made about improvements that they haven't yet seen. Can you talk a little bit about where you see Abridge fitting into this landscape, what a technology partner like you can bring that maybe legislation alone can just simply not accomplish?” —Molly Gamble [03:57]

• A Clinician’s Real-World Friction

  • Dr. Rao describes trying to order a cardiac MRI—navigating insurer requirements and clinical pathways, often facing numerous hurdles for a single patient episode.

• AI as an Omniscient Assistant

  • The goal is not to circumvent payer guardrails but to help clinicians anticipate requirements, prompt needed documentation, and avoid delays.
  • “We're just trying to help all these clinicians be omniscient, something closer to omniscient, so that they can deliver the best possible experience and hopefully the best possible outcome.” —Dr. Shiv Rao [05:57]

3. How Real-Time AI-Powered Prior Authorization Works ([06:45]–[09:13])

• Alleviating Administrative Burden

  • The solution helps clinicians answer all payer-specific questions at the point of care, before the patient leaves the room.
  • AI detects recommendations that require prior authorization in real time, maps diagnostics or therapeutics to the necessary codes, performs instant policy lookups and decisions, and identifies missing information.

• Building Trust through Transparency

  • The AI exposes its reasoning and maps actions to the original payer policy—helping clinicians trust and audit decisions.
  • “In this case, we also expose the AI’s reasoning and we, we map all of the different, you know, boxes that have been checked off to the actual original policy itself so that that can build trust at the point of conversation as well.” —Dr. Shiv Rao [08:33]

4. Payer Incentives and Partnership Dynamics ([09:13]–[10:34])

• The Payer’s Motivation

  • Highmark’s primary objective is improved patient outcomes, not just cost containment.
  • AI enables smarter, earlier, and faster solutions, benefitting both the insurer and members.

• Market Relevance

  • "We're shifting intelligence to the point of the conversation itself, and that they believe will lead to better outcomes..." —Dr. Shiv Rao [10:07]

Notable Quotes & Memorable Moments

"We're starting to demonstrate to the market that Abridge is moving from largely being a passive experience...to being active when it makes sense, being more assistive when it makes sense."
— Dr. Shiv Rao, [01:56]

“We're just trying to help all these clinicians be omniscient, something closer to omniscient, so that they can deliver the best possible experience and hopefully the best possible outcome.”
— Dr. Shiv Rao, [05:57]

“In this case, we also expose the AI’s reasoning and we, we map all of the different, you know, boxes that have been checked off to the actual original policy itself so that that can build trust at the point of conversation as well.”
— Dr. Shiv Rao, [08:33]

“We're shifting intelligence to the point of the conversation itself, and that they believe will lead to better outcomes...”
— Dr. Shiv Rao, [10:07]

Timestamps for Important Segments

• [00:00] Introduction, context, and partnership announcement
• [01:21] Dr. Rao describes Abridge’s strategic pushes and importance of the current milestone
• [03:31] Persistent prior auth challenges and why technology is needed beyond policy change
• [04:29] Real-world friction exemplified in a typical care episode
• [06:45] AI workflow: detecting, mapping, and guiding prior auth at the point of care
• [09:13] Payer incentives and mutual benefits from real-time AI deployment
• [10:34] Closing remarks and outlook

Conclusion

Dr. Shiv Rao’s conversation with Molly Gamble highlights the shift from passive to active, intelligent support in healthcare workflows, especially in prior authorization. By leveraging AI at the point of care, Abridge aims to reduce administrative hassles, meet payer requirements in real time, and improve outcomes for both patients and clinicians. The episode blends industry insight with a clear illustration of AI’s potential to solve long-standing healthcare bottlenecks.