Prescription Drug Prior Authorization: Costs to Pharmacies and Physicians

Why It Matters

Understanding PA labor costs reveals hidden expenses that erode provider productivity and contribute to burnout, signaling a need for workflow efficiencies across the pharmacy‑prescriber ecosystem.

Key Takeaways

• Review analyzed 14 US studies on drug prior‑authorization costs
• Pharmacy PA time ranged 15–24 minutes, labor cost $15–$63
• Physician practice PA time ranged 25–64 minutes, cost $16–$49
• No cost data exist for community, mail‑order, or specialty pharmacies
• Opportunity costs likely double reported labor expenses, fueling provider burnout

Pulse Analysis

Prior authorizations have become a ubiquitous cost‑control mechanism for insurers, but the hidden labor they impose on providers is now surfacing in peer‑reviewed research. The systematic review of 14 studies shows that a single drug PA can consume up to an hour of staff time and cost nearly $50 in direct wages alone. When multiplied across the millions of PAs processed annually—50 million in Medicare Advantage in 2023—the aggregate expense rivals many traditional overhead categories, yet it remains largely invisible on financial statements. Moreover, the opportunity cost of clinicians’ time, which could be spent on billable patient care, likely doubles the reported figures, intensifying concerns about physician burnout and practice profitability.

The evidence gap is stark: community, mail‑order, and specialty pharmacies—where the bulk of prescriptions are filled—have not been studied. This omission matters because these settings operate under different staffing models and technology stacks, potentially amplifying or mitigating PA burdens. Recent regulatory moves, such as the 2024 PA Transparency Act, aim to standardize electronic submissions and reduce redundant paperwork, but early data on their effectiveness are scarce. Emerging AI‑driven eligibility checks and integrated e‑PA platforms promise to shave minutes off each request, yet adoption varies widely, creating a patchwork of efficiency gains.

For health‑system leaders and payers, the findings underscore a business case for investing in centralized PA teams, automation tools, and standardized workflows. By quantifying labor costs, organizations can perform cost‑benefit analyses of interventions—such as dedicated pharmacy‑run PA clinics or AI triage engines—to justify capital outlays. Policymakers, too, can leverage this data to refine regulations that balance cost containment with provider workload, ultimately improving patient access while curbing unnecessary administrative spend.