Northstar Medical Management Reduces Pre-Surgical Financial Risk and Accelerates Authorization at Scale

Performance Summary

Source: Internal performance data provided by Northstar Medical Management, 2025–2026.

Executive Summary

Northstar Medical Management reduced prior authorization determination time from 20–30 minutes per case to under 10 seconds, and cut payer phone calls by 93%, by deploying Manta Health's AI-powered coverage intelligence platform across its surgical pre-certification workflow. The platform automates PA determination and benefits analysis for every procedure and payer combination — eliminating the manual research, portal logins, and phone calls that previously consumed staff time and created financial risk upstream of billing.

The Challenge: A Critical Bottleneck Threatening Surgical Volume

Northstar Medical Management oversees numerous surgical centers that handle thousands of procedures monthly. Like many surgical organizations, Northstar wasn’t constrained by demand—it was constrained by coverage workflows that delayed scheduling and introduced financial risk before the procedure. While surgical volume was high, the administrative process required to confirm payment and authorization was entirely manual, creating a massive, resource-draining bottleneck that exposed the organization to significant financial risk.

The primary struggles centered on two fragmented coverage workflows across prior authorization, eligibility interpretation, and benefits analysis:

PA Determination: The Plan-Procedure Maze

• Problem: For every procedure (from orthopedic to general surgery) and every patient's unique insurance plan, staff had to manually determine whether a Prior Authorization (PA) was required. This made it difficult to consistently determine when prior authorization was required, a common source of delays and downstream denials.
• The Cost: This meant a tremendous volume of phone calls to payers daily. Since PA rules are not standardized and change frequently based on the CPT code, diagnosis code, and specific plan, Northstar's staff spent countless hours on hold and researching payer portals, delaying the scheduling process and frustrating patients.

Benefits Analysis: Decoding Coverage

• Problem: After eligibility was confirmed, the team faced the complex task of predicting the patient’s financial responsibility. They had to manually analyze complex insurance plan documents, often in PDF form, to determine specific coverage details (deductibles, co-pays, out-of-pocket maximums, facility fees).
• The Cost: Inaccurate analysis led to patient financial surprise, increasing bad debt and pushing up claims denial rates due to misunderstandings about covered services.

The Operational Impact: Northstar's administrative efficiency was being choked. The manual, phone-intensive processes resulted in excessive staff labor, slow patient scheduling, high risk of claims denial, and a poor financial clearance experience for patients facing surgery.

The Solution: Intelligent Pre-Certification with Manta Health AI

Northstar Medical Management deployed Manta Health's AI platform to completely overhaul their pre-certification workflow, transforming it from a manual, verification to a continuous, AI-driven pre-service coverage workflow embedded into surgical operations.

Manta Health focused on creating a touchless financial clearance process by deploying two critical AI capabilities:

AI Prior Authorization (PA) Determination Engine

• How it Works: Manta Health's engine uses continuously updated payer-specific rules and sophisticated logic to analyze the CPT code (procedure), ICD-10 code (diagnosis), and the patient's specific plan/product.
• The Result: The system instantly determines if a PA is required. If a PA is necessary, the system automatically initiates the submission using the correct documentation and channel, eliminating staff time spent researching requirements and making manual phone calls.

AI-Powered Benefits Analysis

• How it Works: The AI uses Natural Language Processing (NLP) to ingest and analyze unstructured benefits documents (EOCs, policy manuals, summary of benefits). It cross-references these details directly against the scheduled surgical procedure.
• The Result: The platform provides an accurate, automated cost-of-care estimate, outlining the exact coverage rules (e.g., “Facility fee is covered at 90% after the $5,000 deductible is met”), enabling clear financial counseling for the patient and drastically reducing bad debt risk.

The Results

Comparison of Pre-Surgical Processes (Before vs. After Manta Health)

• PA Determination Time:
  
  • Pre-Manta Health (Manual): 20–30 minutes per case (research/phone call)
  • Post-Manta Health (AI-Powered): < 10 seconds (Automated logic check)
• Phone Call Volume (to Payers):
  
  • Pre-Manta Health (Manual): Nearly every patient/surgery required a call
  • Post-Manta Health (AI-Powered): Reduced by 93%
• Staff Time on Benefits Verification:
  
  • Pre-Manta Health (Manual): Hours of manual document analysis
  • Post-Manta Health (AI-Powered): Automated to an instant, auditable summary.
• Risk of Uncompensated Care (High Denial Risk):
  
  • Pre-Manta Health (Manual): High due to eligibility/PA errors
  • Post-Manta Health (AI-Powered): Reduced through more accurate upfront coverage verification and authorization

This eliminated one of the biggest bottlenecks in surgical scheduling—manual coverage verification.

These results reflect a side-by-side comparison of Northstar's manual historical records against performance data captured within the Manta Health platform during the pilot period.