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Claim Submission Accuracy

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What is Claim Submission Accuracy

Claim Submission Accuracy is a crucial metric in healthcare revenue cycle management that measures the percentage of claims that are submitted correctly on the first attempt. This metric is important because it directly impacts the speed and efficiency of the revenue cycle process. When claims are submitted accurately, they are more likely to be processed quickly and paid in a timely manner, which helps to improve cash flow and reduce the risk of denials or rejections.

To calculate Claim Submission Accuracy, the total number of claims submitted is divided by the number of claims that were submitted correctly on the first attempt. This metric can be tracked over time to identify trends and areas for improvement. For example, if the Claim Submission Accuracy rate is consistently low, it may indicate that there are issues with the billing process or that staff members need additional training.

Overall, Claim Submission Accuracy is an important metric to monitor in healthcare revenue cycle management because it can have a significant impact on the financial health of a healthcare organization. By striving for high levels of accuracy in claim submissions, organizations can improve their revenue cycle processes and ensure that they are maximizing their revenue potential.

How to calculate Claim Submission Accuracy

Claim Submission Accuracy is calculated by dividing the total number of claims submitted without errors by the total number of claims submitted. The resulting percentage represents the accuracy rate of claim submissions. For example, if a healthcare organization submits 1,000 claims and 950 of them are error-free, the Claim Submission Accuracy would be 95%. This metric is important because accurate claim submissions can help reduce claim denials and rejections, which can ultimately improve revenue cycle performance.

Best practices to improve Claim Submission Accuracy

Best practices to improve Claim Submission Accuracy are:

1. Conduct regular training sessions: It is essential to provide regular training sessions to the staff responsible for claim submission. The training should cover the latest updates in coding and billing guidelines, payer requirements, and any changes in the claim submission process.

2. Implement automated claim scrubbing: Automated claim scrubbing tools can help identify errors and inconsistencies in claims before submission. This can significantly reduce the number of rejected claims and improve accuracy.

3. Verify patient information: Ensure that all patient information, including demographics and insurance details, are accurate and up-to-date. This can be done by verifying the information during the registration process and updating it as necessary.

4. Use standardized coding: Standardized coding practices can help ensure that claims are submitted accurately and consistently. This includes using the correct codes for diagnoses and procedures and following coding guidelines.

5. Conduct regular audits: Regular audits can help identify areas of improvement in the claim submission process. This can include reviewing rejected claims, identifying common errors, and implementing corrective actions.6. Monitor claim status: It is essential to monitor the status of claims after submission to ensure that they are processed correctly. This includes tracking claim rejections, denials, and appeals.

By implementing these best practices, healthcare organizations can improve claim submission accuracy, reduce the number of rejected claims, and ultimately improve revenue cycle management.

Claim Submission Accuracy Benchmark

The industry standard benchmark for Claim Submission Accuracy is 95%. This means that healthcare organizations should aim to submit at least 95% of their claims correctly on the first attempt. Achieving this benchmark ensures that claims are processed quickly and accurately, resulting in timely reimbursement and improved cash flow.

How MD Clarity can help you optimize Claim Submission Accuracy

Revenue cycle software can significantly improve the Claim Submission Accuracy metric by automating the claims submission process. With the help of advanced algorithms and machine learning, revenue cycle software can identify errors and inconsistencies in claims before they are submitted to payers. This ensures that claims are accurate and complete, reducing the likelihood of claim denials and rejections.

Additionally, revenue cycle software can provide real-time feedback to billing staff, allowing them to correct errors and resubmit claims quickly. This not only improves the accuracy of claims but also reduces the time it takes to get paid.

If you're interested in improving your Claim Submission Accuracy metric and streamlining your revenue cycle management process, consider booking a demo with MD Clarity's revenue cycle software. Our software is designed to optimize revenue cycle management and improve key metrics, including Claim Submission Accuracy. Contact us today to learn more.

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