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June 8 2022 ·8 min read time

Building Automated HIPAA Compliance Workflows with RPA: What Do You Need to Know?

Building fully automated HIPAA compliant workflows with Robotic Process Automation. How healthcare companies can ensure HIPAA compliance with RPA?

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Michał Rejman

Chief Marketing Officer at Destan.

Technological advancements have revolutionized various industries, and the healthcare sector is no exception. Thanks to AI and automation, repetitive, time-consuming tasks can now be eliminated, allowing healthcare providers to focus on delivering top-quality care and services to patients.

The role of AI and automation in healthcare extends beyond simply automating routine tasks. In many cases, automation serves as a crucial tool for medical staff, helping to organize patient data and transmit information quickly and securely across systems.

However, healthcare organizations must remain cautious and mindful of the need to stay compliant with essential data protection regulations. The sensitivity of healthcare data makes it a prime target for cyber threats, and improper handling of such data can result in serious consequences. Compliance is not optional when it comes to safeguarding patient information.

One of the most critical regulations for healthcare providers to follow is HIPAA. Fortunately, with a well-integrated robotic process automation (RPA) system, healthcare organizations can ensure the protection of health data and create HIPAA-compliant workflows.

Understanding HIPAA Compliance

The Health Insurance Portability and Accountability Act of 1996, commonly known as HIPAA, is U.S. legislation that sets standards for how healthcare organizations handle and protect Protected Health Information (PHI). It establishes guidelines for the proper use, disclosure, and safeguarding of PHI.

To be HIPAA-compliant, healthcare organizations and associated vendors, such as medical device companies, SaaS providers, and health tech companies, must adhere to these regulations to lawfully manage and process patient data.

What is Revenue Cycle Management and How Can It Benefit Your Business?

Revenue Cycle Management (RCM) software is designed to streamline and replace outdated, paper-based processes within the revenue cycle. It serves as the digital backbone for medical billing and claims management, similar to the role of Electronic Health Records (EHR) systems.

A 2021 forecast projects that the RCM software market will grow by 10% annually between 2021 and 2025, signaling an increasing demand for automated solutions. This rapid growth highlights the importance of adopting RCM technology for businesses in need of efficiency and accuracy.

RCM systems support back-office staff with various critical tasks throughout the revenue cycle, including:

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Selecting the Right RCM Automation Tool

Many aspects of the RCM process, particularly medical billing, can be significantly optimized with the help of advanced software. In fact, certain simpler tasks can be fully automated using algorithms. Below are some of the most popular automation solutions for RCM.

Robotic Process Automation (RPA)

As the name suggests, Robotic Process Automation (RPA) utilizes pre-programmed scripts to handle repetitive, rule-based, and high-volume tasks.

The healthcare revenue cycle is ideal for RPA applications, with areas such as scheduling, claims tracking, invoice processing, and medical billing particularly benefiting from automation.

To learn more about how RPA can enhance medical coding automation and explore the RPA development process, check out our detailed guide.

Selecting the Ideal RCM Automation Tool

A variety of RCM processes, particularly medical billing, can be enhanced through intelligent automation. Additionally, algorithms can fully handle certain straightforward tasks. Below are some of the leading solutions for automating revenue cycle management.

Robotic Process Automation (RPA)

As the name suggests, Robotic Process Automation (RPA) systems utilize predefined scripts to manage repetitive, rule-based tasks in high volumes.

Numerous stages in the healthcare revenue cycle are ideally suited for RPA, including scheduling, claims tracking, invoice processing, and various medical billing activities.

Discover more about how medical coding automation works and how RPA can streamline these processes.

Machine Learning

Machine learning (ML) algorithms excel with large datasets, enabling hospitals, clinics, doctor's offices, and research centers to enhance decision-making processes.

In Revenue Cycle Management (RCM), ML can identify claims that are likely to be denied before submission, suggesting corrections. It also aids in predicting patient outcomes, supporting providers in making informed decisions, especially for risk-based cases.

Advantages of RPA in Revenue Cycle Management

While various solutions are employed in automating revenue cycle management, their complexity and operational impact differ. RPA typically requires minimal effort and investment, while offering a faster return on investment (ROI) compared to other methods.

However, RPA implementation is not without challenges. A recent survey by Becker’s Hospital Review found that, despite 51% of providers using some form of RPA, only 7% consider their adoption “mature,” and 33% view it as “robust.”

That said, with the right team of automation specialists by your side, implementing robotic process automation for revenue cycles is a strategic move toward streamlining your financial operations. Revenue cycle management, by its very nature, lends itself well to automation:

Final Thoughts

In an environment where regulations change frequently, costs fluctuate, and unforeseen challenges like COVID-19 arise, maintaining high-quality medical services is impossible without a strong financial foundation. This is why healthcare leaders are increasingly turning to automated solutions to ensure efficient 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 in the medical sector, we prioritize an ROI-first approach, always factoring in both costs and potential gains to maximize savings and revenue for our clients.

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Bart Teodorczuk

RPA Tech Lead at Destan. Automation consultant expert for the healthcare and finance industry.

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