In medical billing, accounts receivable (AR) performance reflects how quickly and effectively healthcare organizations convert services into payments from insurers and patients. A high number of “days in A/R” indicates a long delay between providing care and receiving payment.
Efficient accounts receivable (AR) management is critical to maintaining a healthy healthcare revenue cycle. When claims remain unpaid for long periods, it directly affects a provider’s cash flow, operational stability, and ability to invest in patient care. However, increasing claim complexity, rising denial rates, and growing administrative burdens make it difficult for many practices to maintain optimal AR performance. Inefficient billing workflows, delayed follow-ups, and documentation errors can significantly slow down reimbursements.
Outsourcing to a healthcare revenue cycle management (RCM) partner is an effective way to tackle high AR in medical billing. Experts leverage advanced technologies and human expertise to detect and address bottlenecks in the revenue cycle, improve AR performance in medical billing, and help practices optimize cash flow.
Reduce AR days and boost reimbursements with our expert healthcare RCM services.
Strategies to Reduce Accounts Receivable in Medical Billing
A healthy benchmark for healthcare organizations is to keep 18–22% of total accounts receivable in the 90-day aging category. When the percentage exceeds 22–25%, it typically indicates revenue cycle problems such as denials, slow follow-ups, or payer delays. A Crowe hospital benchmarking analysis found that AR older than 90 days increased from 32% to about 37% of receivables in recent years, reflecting worsening payer delays and administrative burdens. High or aging AR (over 90 days) affects medical billing cash flow, limits resources for daily operations, and impacts the practice’s overall financial stability.
Understanding how to improve AR performance in medical billing is essential for practices seeking faster reimbursements and a more robust revenue cycle. Here are 5 key strategies to improve medical billing collections:
- Monitor Key AR Metrics to Identify Revenue Cycle Issues
Monitoring key performance indicators (KPIs) is essential for identifying bottlenecks in the healthcare revenue cycle. Here are four important KPIs to track:
- Days in AR measures the average time it takes to collect payments after services are billed. A rising number of AR days often signals delays in claims processing or payer reimbursements.
- AR aging reports categorize outstanding balances by time periods (30, 60, or 90+ days), helping practices quickly identify overdue claims that require follow-up.
- Denial rates track the percentage of claims rejected by payers, offering information about issues such as coding errors, missing documentation, or eligibility problems.
- Collection ratio (or net collection rate) measures how much of the expected reimbursement a practice actually collects.
Together, these medical billing KPIs provide a clear picture of revenue cycle performance and help practices address inefficiencies before they lead to significant revenue loss.
- Enhance Claim Submission Accuracy to Reduce Payment Delays
Accurate coding, complete documentation, and clean claim submission help prevent rejections and speed up reimbursements. Coding mistakes such as incorrect CDT codes, over coding and under coding, and mismatched ICD-10 and procedure codes can lead to claim denials, underpayments, delayed payments, and compliance issues.
Ensure accurate medical coding by maintaining thorough clinical documentation, adhering to updated coding guidelines such as ICD-10, CPT, and HCPCS, and performing regular coding audits. Best practices include verifying code specificity, reviewing National Correct Coding Initiative (NCCI) edits to avoid improper billing, and leveraging AI-powered coding tools to support efficiency. Equally important is having certified and well-trained coding professionals review claims to confirm accuracy and compliance before submission. Implementing audits and quality assurance checks helps identify and correct coding errors before claims submission, reducing risk and payment denials/delays.
- Improve Insurance Follow-Up and Denial Management
Implement best practices for timely payer follow-up, denial analysis, and appeals management to reduce outstanding claims.
Timely payer follow-up is essential for preventing claims from aging in AR and ensuring faster reimbursements. This requires:
- Performing a root cause analysis to identify the underlying reasons for claim denials so they can be addressed effectively. This involves analyzing denial trends and patterns to detect recurring errors, such as coding mistakes, missing documentation, or eligibility issues, and implementing corrective measures to prevent them from happening again.
- Monitoring claim status regularly, quickly addressing payer requests for additional documentation, and following up on unpaid or partially paid claims.
- Establishing structured follow-up workflows, focusing on high-value claims, and maintaining clear communication with insurance representatives to resolve issues such as claim denials, processing delays, or missing information.
Consistent follow-up and denial management in medical billing reduces revenue leakage and improves overall cash flow in the revenue cycle.
- Use Technology and Outsourcing to Optimize AR Performance
Automation, analytics, and specialized medical billing services can streamline AR follow-up, reduce aging accounts, and improve collections.
Leveraging technology can significantly improve AR performance by streamlining claim tracking, reducing manual errors, and speeding up follow-up activities. Advanced revenue cycle management software and AI-driven analytics tools can automatically monitor claim status, flag delayed payments, and prioritize high-value or aging accounts that require immediate attention.
Leveraging technology can significantly improve AR performance by reducing coding errors and preventing claim denials before submission. AI medical coding software can analyze clinical documentation and automatically suggest accurate codes, helping ensure that claims are coded correctly the first time.
For example, an AI coding tool can review a physician’s clinical notes and identify missing details needed for code specificity. If the documentation supports a more precise diagnosis code or indicates that an additional procedure code is required, the system alerts the coder before the claim is submitted. By improving coding accuracy and compliance, AI-driven coding tools help reduce denials, prevent rework, and ultimately reduce AR days, and improve overall reimbursement rates.
- Partner with a Dedicated Healthcare RCM Company
Leveraging professional healthcare revenue cycle management (RCM) services is a proactive way to promote clean claim submission, stronger denial management, and effective payer follow-up. An experienced RCM partner brings specialized expertise in medical billing, coding, and payer regulations, helping practices ensure accurate claim submission and compliance with evolving guidelines.
Dedicated RCM teams actively monitor claims, perform timely payer follow-ups, and resolve denials, preventing accounts from aging in receivables. They also use advanced analytics and reporting tools to track important metrics such as AR days, denial rates, and collection ratios, allowing practices to quickly identify and address revenue cycle bottlenecks. Outsourcing RCM also allows providers to maximize reimbursement while focusing more on patient care.
Ultimately, by improving healthcare revenue cycle performance with the right support, healthcare providers can improve AR performance in medical billing and increase collections.
More from This Author
