Jobs · Finance

Medical Revenue Manager (Train AI Models Part Time!)

hackajob · United States · 3 wk ago
RemoteRemoteFinanceFull-time

Responsibilities

  • Oversee charge capture, charge integrity, and revenue integrity functions to ensure accurate and compliant charge submission.
  • Evaluate AI-generated charge review outputs, coding recommendations, and revenue integrity alerts for accuracy and compliance.
  • Conduct charge audits to identify missed charges, duplicate charges, and charge capture errors across clinical departments.
  • Manage and maintain the charge description master (CDM), ensuring accuracy of charge codes, revenue codes, and pricing.
  • Analyse charge patterns to identify revenue leakage opportunities and implement corrective action plans.
  • Collaborate with clinical, coding, and billing teams to resolve charge capture discrepancies.
  • Monitor KPIs including charge lag times, charge capture accuracy rates, and revenue integrity findings.
  • Ensure compliance with CMS billing guidelines, OIG work plan priorities, and payer-specific requirements.
  • Annotate AI outputs and provide structured feedback to support AI training datasets.

Requirements

  • 5+ years of experience in charge capture, charge integrity, revenue integrity, or healthcare compliance.
  • Deep knowledge of CDM management, revenue codes, charge capture workflows, and billing compliance.
  • Strong understanding of CMS billing guidelines, Medicare Part A/B billing rules, and OIG compliance requirements.
  • Proficiency with charge capture systems, EHR platforms, and revenue integrity tools.
  • Experience conducting charge audits and developing corrective action plans.
  • Exceptional written and verbal English communication skills.
  • High attention to detail with the ability to identify billing errors and compliance risks in AI-generated outputs.

Preferred Qualifications

  • CPC, CCS, CHFP, or CRCS credential.
  • Experience with 340B drug program charge capture and compliance.
  • Background in hospital, health system, or physician group revenue integrity operations.
  • Familiarity with AI tools and comfort evaluating AI-generated charge and billing content.
  • Experience with revenue integrity software platforms and analytics tools.

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