Prior authorization cycle time benchmarks: what provider teams should track

Prior authorization cycle time is often discussed as a payer problem. Sometimes it is. But provider teams also control parts of the timeline.

If you do not separate payer delay from provider-side delay, you cannot know what automation should fix.

Quick answer

Prior authorization cycle time is the time from request creation to payer decision. Provider teams should track it by payer, specialty, request type, missing-information status, denial reason, and appeal path. The goal is to separate payer delay from provider-side delay so automation can target the steps the practice controls.

According to the AMA 2024 and 2025 Prior Authorization Physician Surveys, practices complete an average of 39 prior authorizations per physician each week and spend about 13 hours on them, and 93% of physicians say prior authorization delays patient care. In the 2025 AMA survey, 74% of physicians reported that denials have increased over the past five years, and roughly one in three said requests are often or always denied, so denial routing is now part of the core workflow, not an edge case.

See how long prior authorization takes, prior authorization automation with AI, and prior authorization automation.

What is prior authorization cycle time?

Prior authorization cycle time measures how long a request takes from creation to decision.

A complete cycle may include:

• Request identified
• Documentation gathered
• Request submitted
• Payer review started
• Missing information requested
• Additional documentation sent
• Decision received
• Denial routed if needed
• Appeal or peer-to-peer initiated if needed

Teams often measure only the full elapsed time. That is useful, but not enough. You also need step-level timestamps.

Which timestamps should provider teams capture?

Capture:

• Order or referral date
• PA requirement identified date
• Packet ready date
• Submission date
• First payer response date
• Missing-information request date
• Missing-information response date
• Decision date
• Denial date
• Appeal or peer-to-peer date
• Final outcome date

These timestamps show whether the delay is happening before submission, during payer review, after a missing-information request, or during appeal.

How should cycle time be segmented?

Segment by:

• Payer
• Plan type
• Specialty
• Service category
• Location
• Ordering provider
• Request type
• Submission channel
• Denial reason
• Appeal path

The goal is to find patterns. If one payer creates long cycle times for one service line, the fix may be payer-specific. If every payer shows delay before submission, the fix may be internal packet preparation.

What does automation improve?

Automation can reduce provider-side cycle time by:

• Checking whether authorization is required
• Pulling required data
• Preparing documentation packets
• Flagging missing information
• Routing tasks to the right owner
• Monitoring status
• Tracking deadlines
• Capturing denial reasons
• Preparing appeal packets
• Updating the EHR

Automation cannot force a payer to make a decision instantly. It can reduce the time lost before and after payer review.

Benchmark table and methodology

Use this table as the internal benchmark structure:

This avoids one of the biggest mistakes in prior authorization management: blaming the payer for every delay and missing the parts the provider can fix.

What are the prior authorization cycle time benchmarks?

How Linear Health fits

Linear Health can automate the provider-side steps that most often create avoidable cycle time: packet preparation, status tracking, missing-information routing, denial capture, and EHR updates.

It also connects prior authorization status to scheduling and referral workflows, which helps teams see the downstream impact of delays.

How to turn cycle-time benchmarks into action

Cycle-time reporting only matters if it changes queue behavior.

Start by assigning each authorization request to a status category: requirement check pending, documentation pending, ready to submit, submitted to payer, waiting on payer, missing information requested, denied, appealed, approved, or expired. Then define the owner and expected next action for each status.

Next, build aging thresholds. A request waiting on internal documentation for 48 hours requires a different escalation than a request sitting with the payer. A denial that has not been routed in 24 hours may need manager review. A request tied to a scheduled procedure should be prioritized differently from a non-urgent future service.

Finally, review cycle time by root cause, not just average duration. If delays are concentrated before submission, improve packet readiness. If delays are concentrated after missing-information requests, improve documentation collection. If denial routing is slow, improve escalation workflows.

This is how benchmarks become operating rules.

Frequently asked questions

What is prior authorization cycle time?

Prior authorization cycle time is the elapsed time between creating a prior authorization request and receiving a payer decision, including any documentation, status, or missing-information steps in between.

Why should cycle time be segmented by payer?

Payers differ in requirements, portals, response times, and denial patterns. Segmenting by payer shows where staff time is going and where automation or escalation is most useful.

What can automation reduce?

Automation can reduce provider-side delay from packet preparation, portal entry, status checking, missing-information follow-up, and deadline tracking.

What should remain human?

Clinical judgment, medical necessity reasoning, peer-to-peer conversations, and appeal arguments should remain under qualified human review.

How does Linear Health affect prior authorization cycle time?

Cycle time stalls on incomplete packets, missing-information loops, and untracked status. Linear Health automates completeness checks, status tracking, and exception routing so requests move with less rework. Book a demo.

Sources: CMS Interoperability and Prior Authorization Final Rule (CMS-0057-F), AMA 2025 Prior Authorization Physician Survey, AMA: Fixing prior auth.