Days in Accounts Receivable is a key financial metric in healthcare. It measures the average number of days a provider takes to collect payment after a patient service is given. This number reflects how quickly and effectively billing and collection happen. The calculation divides the total accounts receivable balance by the average daily charges over a given period.
A lower Days in A/R number shows prompt payment and better cash flow. A higher number can signal delays in billing, denied claims, or problems with collections. Practices with long Days in A/R may struggle with cash shortages and find it harder to invest in growth or keep patient care moving smoothly.
Setting targets for Days in A/R helps healthcare providers track their financial health. Research from organizations like Greenway Health, MD Clarity, and Collectly suggests that the typical Days in A/R range is about 30 to 40 days in the U.S.
These benchmarks help administrators assess how well their revenue cycle is working and spot areas needing improvement.
Days in A/R affects more than just finances in U.S. healthcare. Late payments can limit cash flow, complicate payroll, and restrict investments in technology or staffing. Long billing cycles may also upset patients if billing communication is unclear or slow, which can hurt patient satisfaction.
High Days in A/R figures often mean more staff time spent on collections, increasing administrative costs. On the other hand, keeping Days in A/R low helps reduce management costs, improves financial results, and builds trust with patients. This balance is important, especially as payment models shift toward value-based care with greater patient financial responsibility.
Several challenges in the billing process can raise Days in A/R. Focusing on these areas can help practices improve:
To better understand revenue cycle health, practices should also track several related performance indicators:
Regularly monitoring these KPIs along with Days in A/R gives a clearer picture of revenue cycle performance and financial health.
The U.S. healthcare sector is increasingly adopting AI and automation to support revenue cycle management. These technologies can shorten Days in A/R by improving billing accuracy, speed, and patient communication.
AI-Powered Claim Scrubbing
AI can check claims before submission to catch coding mistakes or missing data. Early fixes prevent denials and speed up collections.
Intelligent Denial Management
AI tools can predict which claims might be denied by analyzing past patterns. This allows staff to address issues early or focus on high-value appeals, reducing delays.
Automated Patient Financial Communication
AI assistants communicate with patients through SMS, email, or calls about bills, payments, and plans. These efforts significantly increase post-service payment rates, helping providers maintain financial stability.
Workflow Automation Platforms
Robotic process automation handles repetitive tasks like payment posting, eligibility checks, and reminders. This lowers errors and frees staff for more complex work, leading to shorter accounts receivable cycles and lower operational costs.
Real-Time Data Visualization and KPI Tracking
Cloud-based AI systems combine data and provide actionable reports. Regular updates on Days in A/R, collection rates, and denial trends help managers make decisions quickly.
Industry Examples
Companies such as MD Clarity and Gaviti demonstrate how AI-enabled automation can improve claims, payments, and denial handling. These tools also aid in contract analysis to reduce revenue loss.
Overall, AI and automation can transform revenue cycle tasks from routine data entry to complex decisions. This helps organizations keep Days in A/R within target ranges while improving experiences for patients and staff.
For administrators, owners, and IT managers in U.S. healthcare, managing Days in Accounts Receivable remains essential for financial stability. Setting realistic targets around 30 to 40 days and focusing on clean claims, denial management, and patient communication can improve revenue cycle results.
Adopting technologies like AI and automation offers clear benefits in reducing billing times and easing administrative workloads. These tools also help create smoother billing experiences that patients appreciate.
Providers using data-driven methods to manage their revenue cycle are better equipped to maintain steady cash flow, reduce losses, and allocate resources efficiently for patient care and operations.
RCM refers to how a healthcare organization captures, tracks, manages, and collects revenue for patient services, aiming to improve payment speed, consistency, and accuracy.
RCM KPIs are metrics that help healthcare finance teams benchmark performance, set goals, identify revenue leakage, and improve operational decisions.
Days in A/R measures the average number of days it takes for a practice to receive payment post-services, indicating billing efficiency and cash flow health.
Providers should aim for 30-40 days in A/R, with less than 10% of cases over 90 days.
The Net Collection Rate is the percentage of payments collected from total expected collections after adjustments, indicating billing effectiveness.
Healthcare organizations typically target a net collection rate of 95% or higher.
The Claim Denial Rate is the percentage of claims denied by payers, which can highlight inefficiencies and errors in the claims process.
Investing in staff training, process improvements, and automation can help reduce errors in claim submissions and denial rates.
CCR measures the percentage of claims that pass through payer systems on the first attempt, signifying efficient claim handling.
The standard cost to collect should be 2% or less of net patient revenue, indicating cost-effective revenue management.