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Medical Billing Analysis

Litigation-Ready Medical Bill Audits in Minutes

14 minutes with Para

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Get started with Para

Para is an AI colleague for legal teams. Send it this work by email, Teams or Slack, and it hands back the finished document.

14 minutes with Para

What you'll need

  • Medical Bills
  • Medical Records
  • Incident Summary

Plans from $20 a month, with usage included.

Workflow

Overview

CaseMark's Medical Billing Analysis skill produces a comprehensive, litigation-ready audit of medical bills and supporting records. Every charge is validated against documentation, benchmarked for reasonableness, screened for causation, and checked for common billing anomalies—with every finding cited to document, page, and Bates number.

Manually auditing medical bills for litigation is painstaking and error-prone. Attorneys and paralegals must cross-reference hundreds of line items against medical records, look up CPT and ICD codes, check reasonableness against fee schedules, and hunt for unbundling, upcoding, and duplicate charges—all while maintaining precise document citations for every finding.

CaseMark automates the entire medical billing audit workflow. Its AI validates every code against the medical records, benchmarks charges against UCR and FAIR Health data, surfaces billing red flags with stable taxonomy IDs, and produces a Bates-cited memo ready for deposition, mediation, or trial—turning days of manual review into minutes of AI-powered analysis.

How to hand this to Para

  1. 1. Send Para the files

    Email them, drop them in a Teams or Slack message, or upload them.

  2. 2. Para runs the Medical Billing Analysis skill

    It works from your files and checks its citations against the record.

  3. 3. The finished document comes back

    Para returns it where you asked, usually as a DOCX, and offers the next step.

Example request · email, Teams or Slack
Para, run the Medical Billing Analysis skill for the Garcia matter. I've attached the Medical Bills, Medical Records and Incident Summary. Send the finished draft back here as a DOCX.

What Para does

  1. 1. Upload medical bills, supporting medical records, and incident details
  2. 2. AI validates every CPT/ICD code against documentation and runs reasonableness benchmarks
  3. 3. Review the Bates-cited memo with flagged red flags, causation findings, and billing anomalies
  4. 4. Export the litigation-ready analysis in your preferred format (DOCX, PDF)

What you get

  • Executive Summary & Key Findings

  • Per-Provider Charge-by-Charge Analysis

  • CPT/HCPCS/ICD-10 Code Validation Table

  • Reasonableness Review (UCR/FAIR Health/MPFS Benchmarks)

  • Billing Red Flags (Unbundling, Upcoding, Duplicates, Phantom Charges)

  • Causation Screening Results

  • Letter-of-Protection & Chargemaster Markup Analysis

  • Collateral-Source & Lien Interface Identification

  • Billed vs. Paid Reconciliation

  • Appendix of Citations with Document, Page & Bates References

What it handles

  • Per-charge CPT/HCPCS/ICD-10 code validation against medical records

  • UCR/FAIR Health/MPFS reasonableness benchmarking for every line item

  • Unbundling, upcoding, duplicate, and phantom billing detection

  • Causation screening linking each charge to the incident mechanism

  • Letter-of-protection inflation and chargemaster markup flagging

  • Collateral-source and lien interface identification with Bates citations

Required documents

  • Medical Bills

    Itemized medical bills from all treating providers, including CPT/HCPCS codes, ICD-10 diagnoses, and billed amounts

    .pdf, .docx, .xlsx, .csv

  • Medical Records

    Supporting treatment records from all providers (ER, imaging, operative notes, PT/OT, pain management, pharmacy, DME)

    .pdf, .docx

  • Incident Summary

    Case facts including incident date, mechanism of injury, claimed body parts, jurisdiction, and liability posture

    .pdf, .docx, .txt

Supporting documents

  • Explanation of Benefits (EOBs)

    Insurance EOBs or payment records for billed-vs-paid reconciliation

    .pdf, .docx

  • Prior Medical Records

    Pre-incident treatment records for the same body parts to support causation screening

    .pdf, .docx

  • Letters of Protection

    Any letters of protection issued to treating providers for LOP inflation analysis

    .pdf, .docx

  • Lien Notices

    Medicare, Medicaid, ERISA, or hospital lien notices for lien interface identification

    .pdf, .docx

Why teams use it

Eliminate hours of manual charge-by-charge bill review with automated CPT/ICD validation

Catch billing anomalies that could undermine your damages case or provide impeachment material

Strengthen demand packages and mediation statements with Bates-cited, benchmarked billing exhibits

Proactively identify lien interfaces and collateral-source issues before they become surprises

Questions

What types of cases does this medical billing analysis support?

CaseMark's medical billing analysis is designed for personal injury, medical malpractice, workers' compensation, and disability cases. The output is structured to serve as a litigation exhibit at deposition, mediation, or trial.

How does CaseMark validate CPT and ICD-10 codes?

CaseMark cross-references every billed CPT, HCPCS, and ICD-10 code against the uploaded medical records to confirm that each charge is supported by documented treatment. Unsupported or mismatched codes are flagged with specific document and page citations.

What billing red flags does the analysis detect?

CaseMark identifies unbundling, upcoding, duplicate billing, phantom charges, chargemaster markup, and letter-of-protection inflation. Each red flag is assigned a taxonomy ID and cited to the source document, page, and Bates number.

Does the analysis include reasonableness benchmarking?

Yes. CaseMark runs every charge through UCR, FAIR Health, and Medicare Physician Fee Schedule benchmarks so you can assess whether billed amounts are within reasonable ranges for the jurisdiction and service.

How are causation issues handled in the analysis?

CaseMark applies a per-charge causation screen that links each billed service to the incident mechanism and claimed body parts. Pre-existing conditions and same-body-part treatment history are flagged so counsel can address them proactively.

Can I use this output in a demand package or mediation statement?

Absolutely. The memo is designed as a litigation-ready exhibit with Bates-cited findings. CaseMark also offers companion skills for demand letters and mediation statements that consume this billing analysis directly.

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