Revenue cycle process? The revenue cycle manages the financial aspects of providing healthcare services. From patient registration to insurance claim submission and payment collection. The revenue cycle is crucial for the success and sustainability of any healthcare practice. It directly affects the cash flow, profitability, and patient satisfaction.
However, the revenue cycle is also complex and prone to errors, delays, and denials. It can negatively impact the practice’s revenue and reputation. Therefore, it is essential for healthcare professionals to regularly review and optimize their revenue cycle processes.
A thorough revenue cycle assessment can help identify and resolve the root causes of revenue leakage. It can improve the quality of data and documentation, and enhance communication and collaboration among staff and stakeholders. Which ultimately increases the revenue and reimbursement for the services provided.
In this blog post, we will discuss how to conduct an effective revenue cycle review and the best practices to consider.
What is a Revenue Cycle Review?
A revenue cycle review is a systematic and comprehensive analysis of the current state and performance of the revenue cycle processes from the perspective of both the practice and the payer. A revenue cycle review can help answer questions such as:
- How long does it take to complete each step of the revenue cycle, from patient registration to payment collection?
- What are the familiar sources and reasons for errors, delays, and denials in the revenue cycle?
- How well are the revenue cycle staff trained and equipped with the necessary tools and technology?
- How effective are the policies and procedures for verifying eligibility, obtaining prior authorization, coding and billing, submitting and tracking claims, and following up on denials and appeals?
- How satisfied are the patients and the payers with the revenue cycle process and the outcomes?
- How does the practice compare with the industry benchmarks and best practices regarding key performance indicators, such as net collection rate, days in accounts receivable, denial rate, and cost to collect?
It can be conducted internally by the practice’s staff or externally by a third-party consultant or service provider. The scope and frequency of the evaluation may vary depending on the size, specialty, and goals of the practice, but it is generally recommended to conduct a revenue cycle review at least once a year or whenever there is a significant change in the practice’s operations, such as a merger, acquisition, expansion, or transition to a new system or software.
How to Conduct a Revenue Cycle Review?
A revenue cycle review can be divided into four phases: planning, data collection, data analysis, and action plan. Here is a brief overview of each step and what it entails:
Planning
The planning phase involves defining the review’s objectives, scope, and timeline, as well as identifying the stakeholders, resources, and tools involved. The planning phase should also include establishing the criteria and metrics for measuring and evaluating the revenue cycle performance, such as:
- Net collection rate: The percentage of the total amount of money that the practice collects from the payers and the patients, compared to the total amount that the course is allowed to accumulate, based on the contractual agreements with the payers.
- Days in accounts receivable: the average number of days it takes for the practice to receive the payment from the payers and the patients after the service date.
- Denial rate: the percentage of the total number of claims rejected or denied by the payers for various reasons, such as missing or incorrect information, lack of prior authorization, medical necessity issues, or coding errors.
- Cost to collect: the total amount of money that the practice spends on the revenue cycles activities, such as staff salaries, training, technology, and outsourcing, divided by the total amount of money that the course collects from the payers and the patients.
These metrics should be benchmarked against the industry standards and best practices. As well as the practice’s historical data and goals, to identify the gaps and opportunities for improvement.
Data Collection
The data collection phase involves gathering and organizing the relevant data and information from various sources, such as the practice management system, the electronic health record system, the billing and coding software, the payer portals, the patient surveys, and the staff interviews. The data collection phase should cover the entire revenue cycle process, from the pre-service, service, and post-service stages, and include both quantitative and qualitative data, such as:
- Pre-service data: the data related to the activities that occur before the patient receives the service, such as scheduling, registration, eligibility verification, prior authorization, and patient education.
- Service data: the data related to the activities that occur during the patient’s visit, such as clinical documentation, coding, charge capture, and charge entry.
- Post-service data: the data related to the activities that occur after the patient receives the service, such as claim submission, claim tracking, payment posting, denial management, appeal management, and payment collection.
The collection phase should also include a review of the policies and procedures that govern the revenue cycle process, such as the billing and coding guidelines, the claim submission and follow-up protocols, the denial and appeal policies, and the patient financial responsibility and collection procedures.
Data Analysis
The data analysis phase involves processing and interpreting the data and information collected in the previous step to identify the strengths, weaknesses, opportunities, and threats of the revenue cycle process. As well as the root causes and effects of the revenue cycle issues. The data analysis phase should also include comparing the practice’s revenue cycle performance with the industry benchmarks and best practices. As well as the practice’s historical data and goals, to determine the gaps and areas for improvement.
The analysis phase should use various methods and tools to analyze the data and information, such as:
- Descriptive statistics: The methods and tools that summarize and display the data and information meaningfully. Such as tables, charts, graphs, and dashboards.
- Inferential statistics: The methods and tools that test the hypotheses and draw conclusions from the data and information. Such as correlation, regression, and significance tests.
- Qualitative analysis: The methods and tools that examine and interpret non-numerical data and information. Such as text, images, and audio, using techniques such as content analysis, thematic analysis, and discourse analysis.
The data analysis phase should also involve a feedback and validation process. Analysis Results should be shared with the practice’s management and staff. This ensures that they are accurate, reliable, and relevant.
Action Plan
The action plan phase involves developing and implementing strategies and solutions to address the revenue cycle issues. It improves the revenue cycle performance based on the findings and results of the data analysis phase. The action plan phase should also include monitoring and evaluating the outcomes and impacts of the strategies and solutions. As well as revising and updating the action plan as needed to ensure that the revenue cycle goals are achieved and sustained.
Smart Framework
The phase should follow the SMART framework, where the strategies and solutions are:
- Specific: The strategies and solutions should clearly define what needs to be done, who will do it, when it will be done, and how it will be done.
- Measurable: the strategies and solutions should have quantifiable and verifiable indicators and targets to measure the progress and results of the action plan.
- Achievable: the strategies and solutions should be realistic and feasible, considering the resources, constraints, and risks involved.
- Relevant: The strategies and solutions must be aligned with the revenue cycle objectives, scope, and timeline. As well as the practice’s mission, vision, and values.
- Time-bound: The strategies and solutions must have a clear and reasonable timeframe, with milestones and deadlines. It ensures that the action plan is completed and delivered on time.
Strategies and Solutions
Some examples of the strategies and solutions are:
- Improving the data quality and accuracy- It can be done by implementing data validation and verification checks. By standardizing the data entry and documentation formats, and providing regular training and feedback to the staff.
- Enhancing communication and collaboration by establishing clear roles and responsibilities- By creating channels and platforms for information sharing and problem-solving, and fostering a culture of teamwork and accountability.
- Streamlining and automating the processes- By using technology and software, such as EHRs, practice management systems, billing and coding software, and payer portals. It reduces errors, delays, and denials and increases efficiency and productivity.
- Optimizing the coding and billing- To optimize coding and billing, it is important to follow the latest coding and billing guidelines, use appropriate modifiers, and apply the correct diagnosis and procedure codes to ensure that the claims are compliant and accurate.
- Reducing the denials and appeals. It can be done by verifying the eligibility and benefits, obtaining the prior authorization, submitting the claims timely and correctly, tracking the claim status, and resolving the denials and appeals promptly and effectively to ensure that the claims are paid and reimbursed.
- Increasing the payment collection. By educating the patients about their financial responsibility. Providing them with clear and detailed statements and invoices. Offering them various payment options and methods. Follow up to ensure the payments are received and posted.
Conclusion
A revenue cycle review is a valuable and necessary exercise for any healthcare practice. It can help improve the revenue cycle performance, increase revenue and reimbursement, and enhance patient and payer satisfaction.
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