Case study·20-hospital integrated system in the Southeast·Southeast · 11-state catchment, regional academic anchor

Why this system bought back 4.6 hours of physician time per week.

Authora deployed inside Epic via SMART-on-FHIR and CDS Hooks. The PA workflow now lives at the point of order — not in the in-basket, not in the after-clinic backlog, not on the appeals desk three weeks later.

20 hospitals · 460-physician medical group · ~1.1M unique patients
38%
Fewer in-basket PA msgs
4.6 hrs/wk
Saved per MD
61%
Same-day decisions
−72%
Peer-to-peer load

01 · The starting point

What was broken, in dollar terms.

The system's CMO ran the math at the 2025 medical-group retreat: 460 physicians × 13 hours per week on PA × $280/hour internal loaded cost = $87M of physician time spent on PA per year. The number was so large the CFO initially refused to believe it.

  • Average physician time on PA: 13 hours/week — consistent with the 2024 AMA national survey (12 hours)
  • PA-related in-basket messages: 2,300/day across the medical group
  • Peer-to-peer call backlog: 6.2 days, with three full-time hospitalists rotated off floor duty to handle the queue
  • Patient drop-off after PA delay >5 business days: 22% never returned for the ordered service

02 · What Authora did

The integration, the workflow change, the 90-day arc.

The deployment was about workflow placement, not just adjudication. Putting Authora behind the EHR was the difference between a faster denial and a structural change.

  • SMART-on-FHIR launch from inside Epic at order signing — Authora pre-flights the PA before the physician closes the encounter
  • CDS Hooks card surfaces missing evidence at order time, with one-click DTR questionnaire completion against the payer's actual criteria
  • PAS submission happens in the background; the physician sees the decision (or the gap) inside the EHR within seconds
  • Peer-to-peer requests now arrive with the complete clinical context attached — the conversation moves from 'what is the patient's history' to 'do you agree with the criteria gap we identified'

03 · Results, by category

The seven seeded categories, by the numbers.

Pilot ran across the seven CPT categories that, in combination, accounted for roughly 62% of the customer’s PA volume. Auto-approval rates reflect the share of cases that cleared without human review under the customer’s own medical-policy library.

CPTCategoryAuto-approvalP50 latencyWeekly volume
72148MRI lumbar spine74%29s186/wk
27447Knee arthroplasty63%38s72/wk
78815PET/CT skull-to-thigh71%32s54/wk
96413IV chemotherapy admin81%22s194/wk
90867TMS therapy59%44s38/wk
J9271Pembrolizumab inj.79%24s104/wk
E2102DME — CGM sensor86%19s228/wk

In their words
Our physicians did not want a faster denial. They wanted the conversation about evidence to happen while the patient was still in the room. That is the actual product. The time savings followed.
Chief Medical Officer — 20-hospital integrated system, Southeast

04 · What’s next

Year-one expansion plans.

  • Roll Authora to the system's three affiliated FQHC partners under a shared-services agreement
  • Integrate with the system's home-health and post-acute network for DME and HHA prior auth
  • Build a real-time gold-card eligibility view inside the EHR so physicians see, per-payer, which orders are pre-authorized
  • Publish year-one outcome data jointly with the system's quality affairs office to NEJM Catalyst

The trust posture is the same as the pilot.

Every pilot runs under BAA, in us-east-2, with the same SOC 2 Type II + HITRUST r2 posture documented in /trust. The pilot economics are documented in /pilot.