Robotic Process Automation & Artificial Intelligence in Healthcare: Two Distinct Technologies with Distinct Benefits

By AGS Health

February 23, 2023

Robotic process automation (RPA) and artificial intelligence (AI) are two distinct technologies that are often confused with each other, especially in the healthcare industry. While both technologies have the potential to revolutionize the way we work and improve efficiency, it is important to understand the differences between them to use them effectively and avoid misunderstandings.

RPA vs. AI – The Differences

One of the main differences between RPA and AI is that RPA is a set of tools and techniques that automate repetitive, rule-based tasks, while AI involves the creation of intelligent machines that can perform tasks that normally require human intelligence.

Additionally, RPA uses software robots or "bots" to mimic human actions and complete tasks such as data entry, processing claims, or scheduling appointments.

On the other hand, AI involves the development of algorithms and systems that can analyze data, make decisions, and learn from experience.

RPA (a system of rules) AI (a system of that learns)
Rule-based decision making Natural language processing (NLP)
Process execution Autonomous computing
Data collection/extraction Deep learning (from human decisions)
Data preparation Machine learning
Quality guardrails (high accuracy) Relies on a high probability
Scheduling and tracking Forecast demand
Uses structured data and workflows Relies on unstructured data and processes

Misconceptions about RPA and AI

One of the biggest misconceptions about RPA is that it is a form of AI. This misunderstanding can lead to the misuse of terminology and unrealistic expectations about the capabilities of RPA.

For example, some healthcare organizations may think that they can use RPA to make complex clinical decisions or diagnose diseases, which is beyond the capabilities of RPA. This can lead to disappointment and frustration when the technology fails to meet these expectations.

To avoid these misunderstandings, it is important for healthcare organizations to understand the differences between RPA and AI and to use the right terminology in discussions. This can help set proper expectations for what these technologies can and cannot do and ensure they are used effectively in the revenue cycle.

Technology advances, especially those that allow for automation in healthcare, are critically important, especially as cashflow challenges continue. If you are a healthcare organization looking to improve your revenue cycle operations with RPA or AI, consider working with a company like AGS Health. AGS Health's AI platform for revenue cycle automation (RCA) can help you leverage these technologies to streamline your operations and improve efficiency.

Learn about AGS Health’s RCA solution.

While RPA and AI are not the same, they can work together to improve efficiency and streamline operations in the healthcare industry. For example, RPA can be used to automate routine tasks and free up time for healthcare professionals to focus on more complex tasks, while AI can be used to analyze data and make decisions based on that analysis. By understanding the differences between RPA and AI and using the right technology for the right task, healthcare organizations can better leverage the power of these technologies to improve their revenue cycle operations.

At AGS Health, we assess each customer’s unique environment, goals, and needs and present our recommendations based on their situations. Explore AGS Health’s RCA offerings, or speak with a representative to learn more.

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AGS Health


AGS Health is more than a revenue cycle management company–we’re a strategic partner for growth. By blending technologies, services, and expert support, AGS Health partners with leading healthcare organizations across the US to deliver tailored solutions that solve the unique needs and challenges of each provider’s revenue cycle operations. The company leverages the latest advancements in automation, process excellence, security, and problem-solving through the use of technology and analytics–all made possible with college-educated, trained RCM experts. AGS Health employs more than 10,000 team members globally and partners with more than 100 clients across a variety of care settings, specialties, and billing systems.

Related resources

RCM Maturity Framework A 4-Stage Journey to Digital
The RCM Maturity Framework: A Path to Digital Transformation and Operational Excellence

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