What is the purpose of AR aging analysis in revenue cycle management?

• A. To determine the hospital's liquidity ratio.
• B. To identify and quantify receivables by age, helping to target collection efforts and project cash flow.
• C. To assess credit risk of patients.
• D. To categorize expenses by department.

Answer: (B)

AR aging analysis organizes accounts receivable by how long invoices have remained unpaid, and that structure is what makes it a powerful tool for collection planning and cash flow forecasting. By separating receivables into age bands (for example current, 0–30 days, 31–60 days, 61–90 days, over 90 days), you can see not only the total dollars outstanding but where the most risk lies. This helps revenue cycle teams prioritize follow-up with the oldest, most delinquent accounts and adjust collection strategies accordingly—such as targeted outreach, payment plans, or escalation.

Beyond prioritization, aging data feeds cash flow projections. Knowing how much is expected to be collected in the near term versus later allows hospitals to estimate incoming cash, plan for potential shortfalls, and set realistic bad-debt reserves.

While liquidity ratios look at the broader balance sheet and credit risk assessments focus on a patient’s likelihood to default, AR aging specifically tracks the timing and amount of outstanding receivables to drive timely collections and reliable cash flow planning. It isn’t about categorizing expenses by department.