For medical practice administrators, owners, and IT managers, understanding the revenue cycle and its key metrics is important for keeping the organization financially stable. The revenue cycle includes all tasks related to patient service revenue, from booking an appointment to collecting the final payment. This article talks about important revenue cycle metrics like Clean Claim Ratios, Days in Accounts Receivable, Claim Denial Rates, and Net Collections Ratio. These metrics help healthcare organizations manage their revenue well.
The revenue cycle has several phases:
Performance metrics, or Key Performance Indicators (KPIs), are used to measure how well each phase works. Watching these KPIs helps reduce mistakes, speed up payments, and improve cash flow.
The Clean Claim Ratio shows the percentage of claims accepted by payers without needing corrections or being rejected the first time. A good billing process aims for a clean claim rate of 98% or higher, according to many sources.
A high clean claim rate means fewer delays and faster payments. It also lowers the work needed to fix claims. Many practices have clean claim ratios between 70% and 85%, but getting close to 95% or more shows strong billing accuracy.
Clean claims are very important because claim denials due to errors can be between 5% and 10%, and the denial rate should stay below 5%. Reducing denials helps increase revenue and lowers the work for administrative and clinical staff.
“Days in Accounts Receivable” (Days in AR) is the average time a practice takes to collect payment after a service. Good revenue cycles keep Days in AR between 30 and 40 days, with a maximum of 50 days suggested.
Longer AR times can hurt cash flow and finances. Delays happen because of claim denials, late patient payments, or slow billing work. In 2023, one health system cut their Days in AR from 55 to 42 days by improving pre-service work and using automation.
Doctor groups in the U.S. should keep the amount of receivables older than 90 days below 15% to avoid losing money. Hospitals may allow up to 20%, but more than that means problems in following up on claims or managing denials.
Claim denials happen due to coding mistakes, missing documents, failed authorizations, or payer rules. The denial rate should stay below 5% for best collection results. Rates above 8% mean review processes need improvement.
Managing denials means finding the main causes and quickly resubmitting claims to prevent old claims from being unpaid. For example, one doctor group cut their denial rate from 18% to 7% by using automated claim checks, reviewing payer contracts, and training staff.
Fixing denials quickly also keeps revenue steady and lowers costs from denied claims. Denial write-offs can lower revenue a lot if not handled well.
The Net Collections Ratio (NCR) shows how much money is collected compared to the total allowed amount after adjustments, bad debts, and discounts. This number gives a clear view of actual cash from providers.
A good net collections ratio is between 95% and 99%, with many aiming for 98% or more. Lower ratios may show poor collections, weak payer deals, or billing problems.
Watching this metric well helps find places where money is lost but not obvious in gross collections. One doctor group raised their net collections ratio from 92% to 96% by improving denial management.
Collecting payments is important, but how much it costs also matters. The Cost to Collect measures the part of revenue spent on admin work, staff, billing software, and outsourced collection services.
Healthcare groups should keep this cost between 3% and 8% of total collections. This varies depending on the size and complexity of the practice. Efficient processes and automation help lower this cost, allowing more money for clinical care.
Low cost to collect combined with a high net collections ratio means the revenue cycle runs close to peak efficiency.
Use of artificial intelligence (AI), machine learning, and workflow automation is growing in U.S. healthcare revenue cycles. AI helps make claim submission, denial management, and payment collections more accurate and faster.
Thomas John, CEO of Plutus Health, a big healthcare revenue company, supports adding AI in all revenue cycle steps. AI can check eligibility, fix claim errors before sending, predict denials, and improve follow-up work. This cuts claim rejections, speeds payments, and lowers admin work.
For example, Plutus Health helped a behavioral health provider cut days in accounts receivable over 90 from 45 to 25 by using AI and automation for claim checking and collections. An orthopedic practice improved monthly collections by $350,000 by improving workflow and data checks.
Other companies like Greenway Health also encourage automation to improve charge capture, coding, and documentation. Automated tools reduce charge lag, code errors, and denial reviews, helping keep clean claim ratios high and payments faster.
Automation also helps pre-service patient tasks like online registration and real-time insurance checks. It supports better payment collection at the point of service, cutting bad debt and increasing patient satisfaction.
Adopting AI and automation reduces staff pressures, a big problem for providers. About 58% report staff shortages as a major challenge according to HFMA. Automation helps control rising costs and revenue pressures. It lets revenue cycle teams focus on complex denials and patient financial counseling instead of repetitive tasks.
U.S. healthcare providers deal with many payer rules and multiple insurance plans like commercial payers, Medicare, and Medicaid. It is important to meet payer rules such as prior authorizations, billing codes, and filing deadlines to get claims paid.
With patients paying more out of pocket due to higher deductibles, practices need to watch upfront collections and keep billing clear.
Many providers use outside companies that focus on revenue cycle services. Outsourcing helps with staff shortages, technology, and better monitoring of KPIs and finances. Research from Kaufman Hall shows outsourcing is growing among hospitals to fix operation problems.
Practices should also invest in dashboards that show real-time performance of KPIs. Tools can help leaders spot trends, unusual events, or workflow slowdowns that affect cash flow.
This overview helps medical practice administrators, owners, and IT managers in the U.S. understand important revenue cycle metrics. By tracking and improving these KPIs, using AI and automation, and changing workflows to improve coding and collections, healthcare providers can strengthen their finances and keep patient care available.
KPIs in RCM are measurable values that demonstrate how effectively a healthcare organization is managing its revenue cycle processes. They help track, report, and optimize RCM operations to ensure financial health and efficiency.
The five phases of RCM are pre-service, service, billing, payment, and post-payment. Each phase includes specific steps crucial for ensuring timely and accurate revenue generation.
Leading KPIs measure outcomes that can predict future performance, while lagging KPIs indicate past performance. Both types are essential for identifying improvement areas in the RCM process.
A good benchmark for the no-show or cancellation rate is under 10%. This metric is crucial for managing scheduling efficiency.
The denial due to authorization percentage is calculated as the value of claims denied for authorization issues divided by the total value of denials. It helps organizations understand the impact of authorization requirements.
The clean claim ratio is the percentage of claims accepted by insurance payers without any rejections. The industry benchmark for this KPI is 98% and above.
The FPPR indicates the percentage of claims paid on the first submission without any intervention. The industry benchmark is 95%, indicating the efficiency of billing processes.
The industry benchmark for AR in 90+ days is less than 15% for physician practices and 20% for hospitals. This metric highlights the effectiveness of collections processes.
The net collections ratio (NCR) measures the actual collections against the expected amount. The industry benchmark is 98%, while best-run practices aim for 99%.
The cost to collect measures the total expenses incurred for collection efforts divided by total collections. Understanding this KPI helps organizations identify areas to enhance efficiency and profitability.