In the quiet offices of your health system, far from the bustle of the emergency department or the focused calm of a surgical suite, another critical battle for your organization’s health is waged every day. This is the world of the revenue cycle—a complex, high-stakes environment where your team works tirelessly to ensure your organization has the financial resources to deliver on its mission. Teams are feeling immense pressure from payers and evolving reimbursement challenges. This is the reality, and it’s getting more and more complex.

Payers are among the most technologically advanced entities in the world. And they leverage AI to analyze vast datasets, identify billing inconsistencies and reduce fraudulent claims, which are all necessary functions to control healthcare costs. However, a direct consequence for provider organizations is a higher bar for reimbursements. Legitimate, well-documented claims can be flagged by algorithms, kicking off a cascade of manual, time-consuming work for staff.

From reactive firefights to proactive strategy

Revenue cycle management is often a reactive process. A claim is denied, and a team scrambles to fix it. A coding error is found, and someone works overtime to correct it. This constant firefighting drains morale and resources.

Our approach leverages AI to shift from a reactive to a proactive stance, specifically in these two key areas:

Intelligent medical coding: Instead of asking a clinician or a coder to manually review every line of a complex encounter note, imagine an AI assistant that does the heavy lifting. It can analyze the complete clinical narrative and suggest the most accurate and complete codes. This doesn’t replace your expert coders, it elevates them. It frees them from routine reviews to focus on the most complex cases, acting as expert auditors who ensure accuracy and prevent revenue leakage before a claim ever goes out the door.

Automated denial management: When a denial occurs, the administrative burden is immense. AI can be used to streamline the drafting of appeals letters and the adjustment of claims. By handling these repetitive tasks, the AI assistant frees your staff to focus on what requires human ingenuity: analyzing denial trends, improving upstream processes and managing complex appeals. According to this study, less than 1% of claim denials are appealed. By automating appeals and leveraging AI to automate the drafting of appeals – this can have a huge impact.

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Artificial Intelligence for everything that’s real

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Meeting complexity with intelligence—How financial health enables human connection:

We believe the solution to revenue cycle challenges is using AI, not to replace your people, but to amplify their expertise and restore focus to patient care. Here’s a breakdown:

• When your organization is financially healthy, you can invest in the people, tools and time needed to reduce burnout.
• When revenue processes are streamlined, clinicians are pulled into fewer administrative queries and documentation battles. This reduces their cognitive load and restores their focus to center on the patient.
• When clinicians are fully present and unburdened, they can build trust, empathy and partnership that leads to better outcomes and more proactive care.

Revenue cycle management is often a reactive process. A claim is denied, and a team scrambles to fix it. A coding error is found, and someone works overtime to correct it. This constant firefighting drains morale and resources.

Technology is never the hero of the story. The hero is the RCM specialist who can now use their expertise to prevent future denials instead of just chasing past ones. The hero is the clinician who has more time to listen to their patient. The hero is the patient who feels seen, heard and empowered to take ownership of their care journey.

At Altera, we are committed to being your partner in building this future. We are creating AI tools that work quietly and powerfully to handle the noise, so your people can focus on what matters most. Check out more about our approach to artificial intelligence here.