Prior authorization cycle time benchmarks: what provider teams should track
Prior authorization cycle time is not one number. Provider teams need to separate payer delay from provider-side workflow delay to know what automation can actually improve.
Loading audio...

Prior authorization cycle time is not one number. Provider teams need to separate payer delay from provider-side workflow delay to know what automation can actually improve.
- Prior authorization cycle time is the span from request creation to payer decision — the key move is separating payer delay from provider-side delay so automation targets the steps the practice actually controls
- Per the AMA 2024–2025 surveys, practices complete ~39 prior authorizations per physician per week and spend about 13 hours on them, and 93% of physicians say PA delays patient care
- In the 2025 AMA survey, 74% of physicians said denials have risen over the past five years and roughly one in three said requests are often or always denied — so denial routing is now core workflow, not an edge case
- Track step-level timestamps (order date, packet ready, submission, first payer response, missing-info, decision, appeal) so you can see whether delay is before submission, during payer review, or in appeal
- Automation can't force a payer to decide faster, but it cuts the provider-side time lost before and after payer review — packet prep, status tracking, missing-info routing, and denial capture
Prior authorization cycle time is not one number. Provider teams need to separate payer delay from provider-side workflow delay to know what automation can actually improve.
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:
| Metric | Definition | Owner |
|---|---|---|
| Time to requirement check | Order date to PA requirement identified | Provider team |
| Time to packet ready | Requirement identified to documentation complete | Provider team |
| Time to submission | Packet ready to payer submission | Provider team |
| Payer review time | Submission to payer response | Payer |
| Missing-info delay | Missing-info request to response | Shared |
| Denial routing time | Denial received to next action assigned | Provider team |
| Appeal cycle time | Appeal start to final response | Shared |
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?
| Benchmark | Figure | Source |
|---|---|---|
| PAs per physician per week | ~39 | AMA, 2024 to 2025 |
| Staff hours per week on PA | ~13 | AMA, 2024 to 2025 |
| Physicians reporting care delays | 93% | AMA, 2025 |
| Physicians reporting rising denials (5 yr) | 74% | AMA, 2025 |
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.
Before Linear, I needed five systems just to get a patient from referral to appointment. Now I have one screen. The team is coordinating care instead of chasing it.
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.
See your prior authorization cycle time by payer and workflow step
Bring your referral, prior authorization, and scheduling volumes. Linear Health will map the work that can be automated and the exceptions that stay human.
Healthcare AI insights, monthly.
Frequently asked questions
What is prior authorization cycle time?
Why should cycle time be segmented by payer?
What can automation reduce?
What should remain human?
How does Linear Health affect prior authorization cycle time?
Sources: CMS Interoperability and Prior Authorization Final Rule (CMS-0057-F), AMA 2025 Prior Authorization Physician Survey, AMA: Fixing prior auth.

Sami scaled Simple Online Healthcare to $150M and built a multi-specialty telehealth clinic across 20 specialties and all 50 states. Connect on LinkedIn.






