About this role
Role Overview
Lead and evaluate accounts receivable follow-up operations while assessing AI tools that aim to automate payer collections and claim-status follow-up. This role combines hands-on A/R management across commercial, Medicare, Medicaid, and managed care payers with structured evaluation and annotation of AI-generated follow-up recommendations to improve revenue recovery and reduce days in A/R.
Key Responsibilities- Oversee A/R follow-up activities across commercial, Medicare, Medicaid, and managed care payers to drive timely resolution of outstanding claims.
- Evaluate AI-generated A/R follow-up recommendations, claim-status inquiry outputs, and drafted payer correspondence for accuracy, completeness, and effectiveness.
- Manage claim status follow-up workflows, including electronic claim status inquiries using 276/277 EDI transactions, payer portal follow-up, and phone-based resolution.
- Prioritise A/R queues by ageing bucket, payer, and dollar value to maximise revenue recovery.
- Identify and resolve claim payment discrepancies, payer processing errors, and underpayments.
- Monitor and report A/R KPIs such as days in A/R, ageing bucket distribution, collection rates, and write-off rates.
- Develop and implement payer-specific follow-up strategies to accelerate claim resolution.
- Ensure compliance with FDCPA, HIPAA, and payer-specific follow-up and timely filing requirements.
- Annotate AI outputs and provide structured feedback to support AI training datasets and improve automated A/R workflows.
- Minimum 5 years of experience in A/R follow-up, payer collections, or revenue cycle operations, including at least 2 years in a management role.
- Deep knowledge of claim status follow-up workflows, EDI 276/277 transactions, and payer-specific collections processes.
- Strong understanding of Medicare, Medicaid, and commercial payer claims processing and payment timelines.
- Proven experience prioritising and managing high-volume A/R queues across multiple payers.
- Proficiency with billing systems and A/R management platforms.
- Exceptional written and verbal English communication skills.
- High attention to detail and ability to detect payment errors and discrepancies in AI-generated A/R content.
- CRCR, CPC, or CHFP certification.
- Experience with revenue cycle management platforms that include automated A/R follow-up capabilities.
- Background in multi-payer follow-up operations within hospital or physician group environments.
- Familiarity with AI tools and comfort evaluating AI-generated A/R follow-up content.
- Experience creating A/R reduction action plans and presenting performance to leadership.
- Location: Remote.
- Employment type: hourly.
- Pay rate: $75 per hour.
Contribute subject-matter expertise to the development of advanced AI systems for healthcare revenue cycle management. You will help shape automated follow-up workflows that aim to reduce days in A/R and improve recovery, while collaborating with AI researchers and RCM professionals on high-impact projects.