A special needs health plan serving a medically complex population processes a high volume of authorizations annually, which places significant demands on a lean clinical team and an authorization infrastructure that has grown organically over time.

Despite a strong overall approval rate and a deeply committed Utilization Management (UM) staff, the health plan recognized that its UM function was carrying structural inefficiencies that created compliance exposure, staff burden, and missed opportunities for automation. Key concerns included:

• 60% of requests still arriving via email, and an average elapsed time of 105 hours from receipt to auth shell creation.
• Second Level Review (SLR) rates of 17–22% across 2024 and 2025 significantly exceeded the estimated Medicaid industry benchmark of 5–15%, pointing to unresolved clinical decision-support gaps and documentation inconsistencies.
• The Prior Authorization (PA) code list covered only ~8% of all service codes, well below the regional Medicaid average of 16.8%, suggesting that the PA scope may not align with utilization patterns or automation potential.
• Turnaround time (TAT) compliance for written provider letters — a key NCQA and regulatory requirement — lagged behind decision TAT, with 22% of denial letters missing the required provider notification timeframe in 2024, improving to 18% in 2025.
• Governance and operational processes across areas such as PA list ownership, clinical guideline documentation, SLR activity capture, and approval letter content lacked standardization, creating audit and accreditation risk.

The health plan engaged Anoteros to conduct a rigorous, multi-dimensional UM Assessment — spanning strategy, governance, operations, data analysis, and turnaround time compliance — with the goal of building a clear, evidence-based roadmap toward greater efficiency, stronger compliance, readiness for UM automation, and meaningful reductions in operational costs.

Anoteros embedded a blended team of UM subject matter experts and data analysts within the health plan’s operations over a three-month engagement, working directly alongside UM leadership, clinical directors, and operational staff. Rather than conducting a high-level audit from the outside, the team worked from the inside out — building a ground-level understanding of how the UM program actually functioned day to day, then layering quantitative analysis on top of that qualitative foundation.

The engagement combined Anoteros’s proprietary UM assessment methodology with health plan-specific data analysis across multiple years of authorization activity. Governance, clinical oversight, program design, and operational workflows were evaluated in parallel with the numbers — ensuring that findings reflected the full picture, not just what the data showed in isolation.

A central element of the work was a rigorous analysis of the health plan’s authorization data — examining patterns across decision types, clinical criteria usage, submission channels, turnaround time compliance, and written notification practices. This analysis was structured to surface both compliance risk and automation opportunity, with findings reviewed collaboratively with health plan leadership in working sessions that allowed the team to pressure-test conclusions and align on priorities in real time.

Targeted case review gave clinical depth to the data findings. By examining specific authorizations alongside statistical patterns, Anoteros was able to distinguish systemic process gaps from isolated exceptions—a distinction critical for recommendations that affect staff workflows, accreditation standing, and ultimately member experience.

The engagement concluded with a synthesis of all findings into a prioritized roadmap — grounded in the health plan’s specific data, workflows, and organizational context — that gave leadership a clear, sequenced path toward greater operational efficiency, UM automation readiness, and projected operational cost savings of 20–30%.

The UM Assessment delivered a comprehensive, evidence-based picture of the health plan’s utilization management program — one that validated the team’s clinical expertise while identifying a targeted set of structural improvements that, together, create a clear path to a more efficient, compliant, and automation-ready UM operation.

On the clinical quality front, the assessment confirmed that the health plan’s authorization decisions are sound. With a consistent 98% decision-line approval rate across 2024 and 2025 and less than 1% of decisions resulting in appeals, the health plan’s clinical judgment is well-calibrated to the complex needs of its population. Case review found no systemic concerns with the denial rationale across the high-denial-rate auth types reviewed. InterQual use patterns were found to be appropriate and context-driven. These findings gave health plan leadership well-grounded confidence in the integrity of clinical decision-making — a critical foundation before introducing automation.

The data analysis surfaced specific, actionable opportunities. The SLR rate — at 17–22% compared to an estimated industry range of 5–15% — was traced in part to documentation gaps rather than clinical complexity alone: 4 of 12 reviewed SLR cases showed MD consultation occurring outside the system, leaving no formal activity record. Addressing SLR documentation conventions is expected to reduce both compliance risk and the administrative burden on clinical leadership. Similarly, the finding that only 8% of service codes are subject to prior authorization — roughly half the regional Medicaid average — opened a structured conversation about expanding the PA list in a deliberate, data-informed way.

The analysis of the authorization submission channel quantified the operational cost of email-heavy intake. With 60% of requests arriving via email, the average time elapsed from request receipt to auth shell creation was 105 hours — compared to essentially zero hours for authorization submissions through the health plan’s provider portal. Shifting volume to the portal, combined with targeted automation of low-risk, high-approval-rate service categories, is projected to drive operational cost savings of 20–30% — freeing clinical staff to focus on cases that genuinely require human judgment.

The turnaround time and notification findings gave the health plan a precise compliance improvement agenda. The recommendation for staff reeducation — covering recipient selection, letter generation timing, and multi-line auth notification — was delivered with specific case examples, making it directly actionable for UM managers conducting team training.

Key Outcomes of the UM Assessment: 

•  Confirmed clinical integrity of UM decisions  
• Identified and quantified SLR documentation gaps driving above-benchmark SLR rates 
• Mapped 20+ specific workflow improvement opportunities across operations, letters, and governance 
• Delivered a prioritized automation roadmap projecting a 20–30% reduction in operational costs 
• Provided health plan leadership with a structured foundation for NCQA re-accreditation readiness