Key Takeaways
- AI tools help reduce manual work, improve accuracy, and speed up revenue cycles for healthcare organizations.
- AI can detect patterns in claim denials and coding inconsistencies, allowing professionals to catch issues early, protect revenue, and stay compliant with evolving regulations.
- While AI enhances efficiency, medical billing and coding professionals play a critical role in interpreting data, ensuring accuracy, and applying critical thinking and communication skills to support better outcomes.
Medical billing and coding professionals play a key role in today’s healthcare facilities. They handle insurance claims, invoices, and payments, and convert doctors’ diagnostic and procedural notes into standardized codes called Current Procedural Terminology (CPT), which are critical to record keeping and billing.
CPT, a protocol mandated by the federal government, contains roughly 70,000 codes. Each year, hundreds of codes are added, deleted, or revised, according to HealthTech. This means medical billing and coding professionals need to stay current with the changes in order to be able to do their jobs.
The use of AI tools in medical billing and coding is impacting the work of these professionals, affecting everything from how they interpret medical terminology to how they assign codes. If you’re interested in becoming a medical billing and coding professional, enrolling in a specialized program is an important step toward certification and employment.
Benefits of AI in Medical Billing and Coding
Using AI in medical billing and coding can offer benefits, such as the following.
Higher Revenues
Healthcare organizations are already adopting AI tools for use in medical billing to help them improve their bottom lines. Streamlining billing and coding processes helps healthcare organizations enhance their revenue cycle management (RCM). According to a report by AKASA, in 2023 46% of providers were already using AI in their RCM processes.
Less Staff Burnout
AI tools can be used to automate certain billing tasks, helping organizations run more efficiently and cut costs. They help reduce the amount of repetitive, high-volume work that staff must handle, letting them focus on making sure the coding and billing tasks are completed accurately and efficiently.
Medical Billing and Coding AI Tools and Examples
Several types of AI technologies, including natural language processing (NLP), machine learning, and large language models, can be used to read clinical documents, recognize billing patterns, and generate contextually relevant outputs. Additional examples of how AI can be used in medical billing and coding include the following.
1. Automated Coding and Billing
NLP systems can automatically assign billing codes from clinical documentation. Key benefits of this automation are that it reduces staff’s manual effort and minimizes the risk of human errors occurring. Another benefit of automation is the acceleration in revenue collection in accounts receivable processes, where AI tools can be used to streamline payment posting and claims processing.
2. Denial Management
In 2025, 54% of providers reported that the number of claim denials they received were increasing, and 26% of providers traced at least 10% of those denials to inaccurate or incomplete data collected at intake, according to Experian. Machine learning models applied through AI medical billing tools can be used to analyze denial patterns and flag possible issues before claims are submitted to reduce the number of improper denials.
3. Single-Source Coding
AI tools can be used to consolidate into one task coding tasks that traditionally had been split between entities handling hospital services and those handling physician services. The results of this single-source coding are simplified communication among providers, payers, and patients, and efficiency in handling large volumes of claims.
4. Health Information Management
AI systems can be used to organize and analyze health data, enable real-time coding, and help organizations stay compliant with evolving coding guidelines. AI-driven tools also can be applied to personalize communications and improve the overall billing experience for patients.
AI Skills for Medical Billing and Coding Professionals
The rise in the use of AI in medical billing is redefining the role of billing and coding professionals. What can you do to prepare? One of the most important things you can do is gain new skills that will allow you to help protect your organization from fraud, financial risk, and compliance failure.
Today’s professionals should focus on four areas: understanding the role of AI in the tools they use, analyzing the data those tools produce, thinking critically about outputs and exceptions, and developing the interpersonal skills they need to help keep complex systems accountable.
Understanding How Key AI Technologies Work
You do not need advanced technical AI expertise to work in medical billing and coding, but knowing how NLP, machine learning, assistive AI, and generative AI work can be invaluable. This includes understanding how AI medical billing tools scan patients’ records and physicians’ notes, flag billing errors, and speed up bill processing. Since coding is central to the role, you need to know how the AI relates to code sets like the CPT.
Data Analysis Skills
AI generates data rapidly. Without proper checks, you could overlook errors in coding — such as billing for more or less expensive services than were delivered — until it’s too late. Keeping an eye on outputs can help to safeguard your organization’s revenue, safety, and quality. By analyzing these outputs, you can learn to recognize patterns and gain valuable insights. Developing these skills can also lead to higher-level analytical jobs.
Critical Thinking and Communication Skills
Though AI tools are being used in medical billing and coding tasks, the work still requires human oversight. Only humans can explain potential machine errors to healthcare providers and justify system overrides to compliance officers. While working as a medical billing and coding professional does not require you to interact directly with patients, you’ll need robust communication and critical thinking skills to be able to apply sound judgment, collaborate across teams, and make complex information clear.
Prepare for the Future of Medical Billing and Coding
AI is reshaping how medical billing and coding is done. But the human skills and judgment the job demands remain crucial. That is why the field keeps growing: The U.S. Bureau of Labor Statistics projects that positions for medical records specialists will increase by 7% between 2024 and 2034, far outpacing the overall job market.
While medical billing and coding professionals work behind the scenes, their role is critical to their organization’s clinical care, compliance, and revenue. Fortis’s Medical Billing and Coding training programs offered on campuses in Maryland and New Jersey provide a curriculum grounded in real-world experience that prepares students to obtain certification and work as medical billing and coding professionals across a variety of types of healthcare settings.
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