Healthcare should always prioritize patient well-being, but the reality is that medical services come at a cost.
This has led to the creation of a sophisticated IT infrastructure designed to manage the entire healthcare revenue cycle—from processing insurance claims to collecting payments. The process involves numerous interconnected steps, and its complexity presents opportunities for optimization with minimal room for error.
Efficient Revenue Cycle Management (RCM) is crucial for ensuring proper healthcare delivery and minimizing revenue loss. However, surprisingly few industry leaders fully recognize its significance. For instance, a 2020 report revealed that 87% of providers still relied on manual and paper-based methods for collections. As a result, 78% of them struggled to collect payments exceeding $1,000 within 30 days. Combined with fluctuations in healthcare spending, this creates an unstable and inefficient system for both patients and providers.
Despite the increased digital adoption in healthcare following the pandemic, many organizations still depend on manual revenue management processes. Fortunately, there are solutions available that can be quickly implemented without the need for large-scale investments in complex IT setups or ongoing maintenance. In this article, we will explore RCM systems for medical services and discuss how revenue cycle management automation can benefit your healthcare organization.
Revenue cycle management (RCM) encompasses all the administrative processes related to financial transactions between patients and healthcare providers. It focuses on how these transactions are managed from start to finish. Key processes in RCM include:
Pre-authorization — The process begins when a patient schedules an appointment. The provider gathers essential information, such as personal details and medical history, and verifies the patient's insurance eligibility to set up their account.
Medical Coding — Next, healthcare data such as test results, diagnoses, and procedures are converted into standardized codes. This coding system ensures effective communication between healthcare providers, office staff, insurers, and other involved parties.
Claims Submission —The provider submits the coded details of the patient's treatment to the insurer, who reviews the claim and determines whether it will be approved or denied.
Payment Collection —If the insurer approves the claim, the provider receives reimbursement. However, insurance often doesn’t cover the full amount due, so the provider must follow up with the patient to collect the remaining balance.
Service Review and Reporting —After payment is collected, the data from both the revenue cycle and clinical treatment is reviewed. This analysis identifies potential issues and opportunities for streamlining and improving the process.
It’s important to note that while revenue cycle management and medical billing are often used interchangeably, they are not the same.
RCM covers all the processes outlined above, whereas medical billing focuses specifically on tasks related to claims, such as coding, submission, and payment collection. In this context, RCM is a more comprehensive, end-to-end workflow that incorporates billing as a crucial component.
The revenue cycle is influenced by various unpredictable and dynamic factors, both internal and external. These changing elements often add complexity to revenue cycle management, making each case uniquely challenging.
Revenue Cycle Management (RCM) software is designed to digitize and replace traditional paper-based processes in revenue cycle workflows. It functions similarly to an EHR, but for medical billing and claims management.
A 2021 forecast predicts that the RCM software industry will grow at an annual rate of 10% from 2021 to 2025, indicating a strong demand for RCM solutions—and for good reason.
RCM systems support back-office staff by automating and streamlining key tasks within the revenue cycle, including:
These systems achieve their goals by utilizing advanced technologies, including RCM automation.
Many revenue cycle management (RCM) processes, particularly medical billing, can be enhanced with intelligent software. Additionally, algorithms can fully automate certain straightforward tasks. Below are some of the most widely used solutions for automating revenue cycle management.
As the name suggests, Robotic Process Automation (RPA) utilizes pre-programmed scripts to manage repetitive, rule-based, and high-volume tasks.
Various stages of the healthcare revenue cycle are ideal for RPA, including scheduling, claims tracking, invoice processing, and most medical billing tasks.
To learn more about how RPA can assist with medical coding and its development process, check out our detailed guide.
Machine Learning (ML) algorithms excel with large data sets, which are abundant in hospitals, clinics, doctor’s offices, and medical research centers, allowing them to enhance decision-making.
In RCM, ML can identify claims that are likely to be denied before submission and suggest corrections. It can also predict patient outcomes, enabling providers to make more informed decisions when managing risk-based cases.
Optical Character Recognition (OCR) is a technology that scans and analyzes documents and images to extract text and convert it into a digital format. OCR is widely used in healthcare to quickly process prescriptions, medical records, and other documents.
By enabling faster data entry, OCR significantly reduces time spent on key RCM tasks such as pre-registration, claims submission, and coding.
Similar to OCR, Natural Language Processing (NLP) accelerates data extraction, but instead of scanning entire documents, NLP tools focus on identifying important terms within unstructured data, such as physician's notes.
While unstructured data can be challenging and time-consuming, NLP excels in capturing more complex information, allowing healthcare professionals to communicate naturally while maintaining efficiency in billing and coding.
Intelligent Automation (IA) represents the integration of multiple automation technologies into a single, highly efficient system that is smart, self-learning, and capable of managing any type of data. In RCM, IA brings together the strengths of various automation tools.
For instance, AI can analyze patient data extracted and formatted by OCR/NLP, identifying recurring patterns and standard procedures. It then delegates these tasks to pre-programmed RPA bots for enhanced efficiency.
While several solutions are used for automating Revenue Cycle Management, they differ in complexity and daily operations. RPA typically requires the least effort and investment, offering a relatively quick return on investment (ROI).
However, implementing RPA is not always straightforward. A recent survey by Becker’s Hospital Review found that although 51% of providers have integrated some form of RPA, only 7% consider their adoption "mature," while 33% classify it as "robust."
Nevertheless, with the support of a trusted team of automation experts, implementing Robotic Process Automation in the Revenue Cycle is a crucial first step toward further automating your financial processes. Revenue Cycle Management is particularly suited for RPA due to the following reasons:
1. Repetitive Tasks — RPA bots excel at handling monotonous billing tasks, such as sending invoices, receipts, payment reminders, verifying patient data, and ensuring regulatory compliance.
2. Rule-based Processes — While the revenue cycle is complex, it involves many simple, rule-based tasks that bots can manage, allowing your team to focus on more complex responsibilities.
3. Error-prone — Unlike humans, bots don't experience fatigue or lose focus, significantly reducing the likelihood of errors such as typos or incomplete forms. They can also assist human billers with complicated cases, offering suggestions and insights for corrections.
4. Costly Inefficiencies — According to MGMA, the US healthcare industry lost over $16 billion in 2020 due to inefficiencies in the revenue cycle. Many of these issues could have been addressed through automated revenue cycle management.
RPA offers numerous opportunities to streamline and enhance various processes within the revenue cycle. Here are a few examples:
Faster Cost Estimates — Automating the benefits retrieval process accelerates the generation of cost estimates, leading to quicker turnaround times.
Pre-authorization Support — RPA bots can automatically pull patient data from other systems and upload it directly into your Hospital Information System (HIS), reducing delays.
Improved Patient Communication — RPA automates scheduling appointments, sending reminders, and providing follow-up information, improving patient engagement.
Automated Data Entry — RPA integrates data from multiple sources into your system faster and more accurately, reducing the risk of errors and minimizing claim denials.
Ensuring Compliance — By minimizing manual processes, RPA helps healthcare providers avoid errors and ensure compliance with HIPAA and other regulations.
Order and Referral Management — Instead of manually reviewing referrals and orders, RPA handles scheduling and confirmations, speeding up the process and reducing delays in the revenue cycle.
Claims Denial Management — RPA bots can manage straightforward claim denials, allowing your staff to focus on more complex issues.
Third-party Integrations — RPA ensures that multiple tools from different providers work together seamlessly, streamlining operations and improving overall efficiency.
Enhanced Patient Experience — With faster claims processing, better communication, and increased efficiency, RPA improves the overall patient experience, making your services more appealing to patients.
In the face of ever-changing regulations, cost fluctuations, and unforeseen challenges like COVID-19, maintaining high-quality medical services requires a solid financial infrastructure. To address this, healthcare leaders are turning to automated solutions that streamline and secure revenue cycle management.
If you're seeking a reliable partner to automate your organization's RCM systems, reach out to us at Destan. With extensive experience working alongside medical companies, we prioritize an ROI-first approach — carefully considering both costs and potential gains to help our clients maximize savings and earnings.
Book a free consultation to discover what aspects of your process can be automated.
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