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AI Medical Bill Review Agent

Extract billed ICD/CPT codes, flag anomalies and outliers, and speed bill adjudication with reviewer-in-the-loop to cut claim expenses.
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Overview
Custom solution
Agent

Automating Medical Bill Review with AI

Automate your complete medical bill review workflow—from code extraction and NCCI validation to anomaly detection and reviewer-approved adjudication.
001
Extract and validate coded data automatically

The Agent ingests claims via EDI 837, PDF bills, and itemized charges, then uses OCR and NLP to extract ICD-10, CPT/HCPCS codes, modifiers, and service details into structured, normalized records.

002
Flag anomalies and apply payment integrity rules

Automated edits—including NCCI PTP, MUE, OCE, and DRG validation—catch upcoding, unbundling, duplicate billing, and modifier misuse, with each flag tied to a specific rule citation or statistical rationale.

003
Route complex claims to reviewers with full context

High-risk or high-dollar claims surface in prioritized worklists, giving nurse auditors and coding specialists the AI recommendation, supporting documentation, and rule references they need to confirm, override, or escalate.

How Cassidy automates Medical Bill Review using AI

Step 1: Trigger on new claim or bill submission

The Workflow activates when a claim arrives—whether via EDI 837 feed, scanned PDF (CMS-1500, UB-04), or clearinghouse upload—and queues it for processing.

Step 2: Extract and normalize coded data

Cassidy parses line items, diagnosis codes (ICD-10-CM/PCS), procedure codes (CPT/HCPCS), modifiers, units, service dates, and provider identifiers, mapping everything to your internal claim schema.

Step 3: Run coding edits and payment rules

The Workflow applies NCCI PTP and MUE edits, OCE/OPPS logic, DRG grouper validation, and your payer-specific fee schedules—flagging incompatible code pairs, excessive units, and pricing variances.

Step 4: Detect anomalies and calculate savings

Cassidy's analytics identify upcoding, unbundling, duplicate charges, and outlier patterns, then compute line-level and claim-level savings with transparent rationale and peer benchmarks.

Step 5: Route to reviewer with Human-in-the-Loop

Claims that exceed risk or dollar thresholds land in prioritized worklists. Reviewers see the AI recommendation, supporting medical records, rule citations, and confidence scores—then confirm, adjust, or escalate.

Step 6: Post adjudication decisions and generate remittance

Once approved, Cassidy pushes determinations back to your core claims system, produces 835 remittance advice with appropriate CARC/RARC codes, and logs every decision for audit and appeals.

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Get help from our team of specialists to quickly integrate this solution into your existing workflow and unlock new growth.
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  • ROI tracking & analytics dashboards
  • Proven playbooks to get started fast

A dedicated team to drive adoption and results

Our implementation experts work hands-on with your team to make sure you see real value - fast. From setup to optimization, we’re here to help every step of the way.

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We train your builders, support their workflows, and make sure they get the most out of Cassidy without ever waiting on engineering.

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