Delaying RCM Automation May Cost Your Health System Billions!

Delaying RCM Automation May Cost Your Health System Billions!

Revenue cycle management (RCM) plays a vital part in guaranteeing the financial stability and long-term viability of healthcare organizations. The full range of patient financial interactions, from enrollment and insurance confirmation through claim submission and reimbursement, are covered by RCM. An efficient RCM system skillfully manages and ensures the timely receipt of revenue while eliminating billing errors, lowering claim denials, and quickening payment periods.

By utilizing technology to simplify and automate revenue cycle activities, RCM automation implementation increases the effectiveness of RCM even further. Automation decreases the need for manual labour, gets rid of paperwork, and increases the effectiveness of processes. Organizations can discover bottlenecks, streamline operations, and reach well-informed decisions thanks to its real-time monitoring, data analytics, and reporting capabilities. By lowering errors, boosting financial transparency, and streamlining billing procedures, RCM automation also enhances accuracy, compliance, and patient satisfaction. According to a recent survey, about 78% of health systems are currently using or are in the process of implementing automation in their revenue cycle operations!  This number shows a significant 12% jump from last year, going from 66% to 78% in less than a year.

Understanding RCM deployment

One of the most important steps in improving the financial operations of an healthcare organization is the automated implementation of Revenue Cycle Management (RCM). This process entails the application of technological solutions to streamline and automate different revenue cycle activities, resulting in better efficiency, accuracy, and financial benefits.

The elimination of manual mistakes is one of the main advantages of RCM automation adoption. The chance of human error is greatly reduced by using automated technologies to replace manual data entry. As a result, there are fewer denials and quicker reimbursements when patient registrations, insurance verifications, coding, billing, and claim submissions are done accurately.

By cutting down on the amount of time needed for various processes, automation also quickens the revenue cycle. Billing software and electronic health record (EHR) systems enable the seamless integration of patient data, streamlining operations and accelerating procedures. This facilitates quicker claim submission, decision-making, and payment processing, which enhances cash flow and lowers accounts receivable.

Additionally, real-time monitoring and analysis of critical performance metrics are made possible through RCM automation.

The process of RCM automation deployment

Deploying Revenue Cycle Management (RCM) automation entails a few crucial phases. First, healthcare businesses evaluate their existing revenue cycle procedures, identify their pain points, and establish automation goals. This entails assessing the current technological landscape and figuring out the breadth of automation implementation.

The following step is for enterprises to choose and implement the proper RCM automation solutions, such as revenue cycle management platforms, billing software, and electronic health record (EHR) systems. This entails connecting the software with existing systems and configuring it to match organizational requirements.

Staff education and training are necessary after the automation systems are set up. To ensure a smooth transition and maximize the advantages of RCM automation, healthcare personnel must be trained on how to use the automation software successfully.

The RCM automation process requires constant monitoring and improvement. In order to increase productivity, accuracy, and economic outcomes, organizations need to routinely evaluate the operation of the automation systems, keep an eye on key performance indicators, and make the required adjustments. This could entail streamlining workflows, addressing issues with system integration, and utilizing tools for data analytics to gain knowledge and make informed decisions.

To achieve the best revenue cycle performance, the RCM automation deployment process generally entails assessment, selection, and implementation of technological solutions, personnel training, and continuing monitoring and optimization. It is a dynamic and iterative process that uses automated technology to improve productivity, accuracy, and financial results.

Key touch points and benefits of RCM Automation

The adoption of Revenue Cycle Management (RCM) automation benefits healthcare organizations in a number of substantial ways. The fundamental benefit of RCM automation is increased efficiency because it streamlines and automates many operations, resulting in less paperwork and manual labour.

Secondly, RCM automation enhances precision and lowers errors. Claim denial rates are one of the top challenges of the revenue cycle, resulting in lost revenue and increased time for rework. In fact, 89% of healthcare organizations have seen an increase in claim denials over the past three years according to a 2020 report by the AHA. Fortunately, 82% of denials are potentially avoidable. The risk of human error that can arise during manual data entry, coding, and billing processes is eliminated by automated solutions. As a result, there are fewer claim denials, quicker payouts, and better revenue capture.

Cost-to-collect is another time-consuming and persistent RCM challenge. Research shows that 37% of receivables are aged over 90 days, directly affecting the cost of care and the time it takes for staff to process claims. AI-powered automation can streamline prior authorization processes, including identifying requirements and submitting and tracking prior authorization requests.  This facilitates quicker claim submission, decision-making, and payment processing, which enhances cash flow and lowers accounts receivable.

Additionally, improved financial management and visibility are made possible through RCM automation. Automated systems give firms the ability to track important performance metrics, spot bottlenecks, and make informed decisions. They also enable real-time monitoring and reporting capabilities. This improves financial transparency and points out potential process improvement areas. RCM automation also improves compliance by ensuring that coding standards and legal requirements are followed. Automated system checks and balances assist in locating potential compliance concerns, lowering the likelihood of audits and fines.

As for patient experience, inaccurate medical bills are responsible for $88 billion a year in consumer medical debt, according to Consumer Financial Protection Bureau report. More than 40% of consumers are unsatisfied with their provider billing experiences, to the extent that nearly the same number (37%) won’t pay their bills if they can’t understand the administrative experience!
RCM automation enhances the patient experience by streamlining billing procedures and offering precise and clear invoices. It also provides easy ways to pay, improving patient satisfaction and lessening administrative demands on both patients and healthcare professionals.

Lastly, RCM automation can save organizations money in the long run with research indicating that deploying automation and analytics in RCM could eliminate $200 billion to $360 billion of healthcare spending in the US!

Challenges to RCM automation deployment

Even though RCM automation adoption is advantageous, there can be a number of obstacles. Firstly, it might be quite difficult to integrate automation solutions with current systems and procedures. To enable seamless integration and data interoperability requires rigorous planning, customization, and system configuration.

Second, the introduction of RCM automation may be hampered by employee opposition and adoption challenges. Employees may be resistant to change, necessitating extensive education and training programs to acquaint them with the new processes and systems. Achieving buy-in and addressing concerns are essential for implementation success.

Furthermore, problems with data accuracy and quality can arise. Since automation significantly depends on correct and clean data, any inconsistencies or entry errors may have a negative impact on the automation process. To address this issue, organizations must put strong data validation and quality control systems in place. Additionally, automation system updates and maintenance can be difficult. The automation software needs consistent upgrades, security patches, and system improvements to function properly, which calls for devoted resources and knowledge. Lastly, cost factors may pose a problem. Deploying RCM automation may involve a sizable initial investment in both technology and training. To justify the costs involved with automation, organizations must carefully evaluate the ROI and long-term advantages.

To successfully implement RCM automation and reap its benefits requires careful planning, stakeholder involvement, thorough training, data management techniques, and lasting support.

Conclusion

For healthcare businesses to prioritize patient-centric methods and boost both patient happiness and financial well-being, RCM automation deployment is essential. Streamlining revenue cycle procedures automatically improves the financial experience of patients. This in turn improves the patient-provider relationship, maximizes revenue creation, and guarantees the organization’s overall financial stability.

The importance of revenue cycle management, when combined with the implementation of RCM automation, lies primarily in its capacity to maximize revenue collection, improve financial outcomes, increase operational efficiency, assure compliance, and deliver a satisfying patient experience.  In a challenging healthcare environment, it enables healthcare organizations to attain financial stability, concentrate on providing high-quality care, and promote sustainable growth. For more information, please write to us at hello@felixsolutions.ai