In this post, Amy Raymond, SVP of revenue cycle operations and deployments at AKASA, emphasizes the crucial role of comprehensiveness in achieving accuracy in medical coding. She discusses how leveraging generative AI technology enhances coding accuracy by thoroughly reviewing clinical documents, capturing every relevant detail, and reducing the need for extensive oversight. Health systems need a holistic approach to medical coding that not only boosts reimbursement and compliance but also improves patient care and organizational efficiency.
One of my favorite unspoken secrets about this industry is that no one touches everything in the revenue cycle.
The same is true with coding. Is the coding team getting to every document and every possible code? Could your coders be missing codes? Of course.
When it comes to medical coding, accuracy is paramount. But what often gets overlooked in the pursuit of accuracy is comprehensiveness. In my 25+ years working within the revenue cycle, I’ve seen how the two go hand-in-hand.
At AKASA, we believe that a comprehensive approach is essential for achieving the coding accuracy you need. Our generative AI technology has revolutionized medical coding by ensuring that every relevant clinical document is reviewed thoroughly every single time.
In the world of medical coding, you might find yourself prioritizing certain elements over others due to constraints like staffing or time.
Health systems end up creating their own coding guidelines on the things that matter to them. This often means focusing on the highest diagnosis-related group (DRG) or meeting specific compliance requirements. I’ve seen organizations prioritize Elixhauser or U.S. News & World Report. Are you being pressed on new regulations or social determinants of health (SDOH)? Coders need to capture at least one code that fits. But, in reality, there could be five applicable ones.
Are you missing potential quality measures for which you could be getting credit? Could your case mix index (CMI) be improved? Could you be telling a better story about the care your organization provided? Definitely. Is this the right answer from a reimbursement, compliance, or quality perspective? Not always.
But everyone is just doing the best they can.
While understandable, this approach can lead to missed opportunities for capturing essential quality measures and telling a more accurate story about your organization.
The reality is stark. Missing potential quality measures could mean not getting the credit you deserve. Or worse: compromising patient care continuity. Quality measures don’t just impact reimbursement; they influence clinical outcomes, patient retention, and even your health system’s reputation.
Coding is used to attach reimbursement to medical procedures — because there has to be some way to cross-walk that. But, if you take a step back, don’t think about a reimbursement model, and don’t think about the monster that is healthcare, let’s agree: no one can read through a whole chart every time they go to take care of a patient.
When I speak with coding and revenue cycle leaders, one recurring theme is their struggle to balance productivity with thoroughness.
You might think, “I’ve captured the high-priority codes, so I’m good.” But are you sure you’ve captured the best codes? A patient’s record could be hundreds of pages. Have you missed any valuable data points that could contribute to a more comprehensive view of the patient’s health and treatment? Something that could create a more effective story about the patient and the care your system provides?
And without a full review of each clinical document, you risk leaving money, quality ranking, severity, and risk on the table.
Many organizations employ quality coders or auditors who perform secondary reviews to ensure compliance and accuracy. However, this process isn’t foolproof and often involves additional layers of oversight that can be expensive and time-consuming.
This is where our technology comes into play. What if you are coding so comprehensively upfront that you don’t need as many layers of oversight? All because AI is aiding you.
Our new first-of-its-kind generative AI (GenAI) solution, AKASA Medical Coding, takes the heavy lifting off coders’ shoulders. Instead of your team spending countless hours combing through each document manually, our AI ensures that no stone is left unturned. It captures every relevant piece of information, enabling coders to focus on validation and higher-level decision-making.
With GenAI, you can capture more of the critical codes, faster. You can be accurate. You can be comprehensive. You can capture all the things you’re supposed to capture according to the rules — not according to your deprioritized priorities. All without sacrificing productivity.
You can finally be both comprehensive and accurate — without sacrificing productivity.
Here’s why I think GenAI is also critical for enhancing prior authorization.
Here are a few of the ways your coding operations can benefit from our GenAI-powered coding solution:
See how AKASA Medical Coding works.
I think generative AI will impact coding by improving productivity, accuracy, and revenue generation.
~Marilyn Voss, MSN, RN, CCM
Director of HIM, Clinical Coding, CDI, and Utilization Management
Nebraska Methodist Health System
Marilyn is entirely right in this statement. GenAI is going to help improve all of the metrics that the medical coding industry cares about. It’s the future.
Ultimately, the question isn’t just about whether your coding is accurate but whether it’s as comprehensive as it could be. That path to accuracy is comprehensiveness.
At AKASA, we believe that comprehensive coding leads to more accurate, complete, and compliant records. This holistic approach doesn’t just benefit the revenue cycle and compliance departments; it improves patient care and organizational efficiency.
And GenAI is the way to get there.
Are you ready to elevate your coding practices? Discover how AKASA can transform your medical coding with our advanced AI solutions. Schedule time with my team today to see the technology in action.
By addressing the pain points and challenges in the revenue cycle with a comprehensive approach, we offer a solution that is not just innovative but necessary for modern healthcare operations.
Let’s make coding accuracy synonymous with comprehensiveness.
I hope this post offers valuable insights and actionable steps to improve your organization’s medical coding practices. If you have any questions about coding or GenAI or need further information, please reach out to me. We’re here to help you succeed.
Amy Raymond serves as the senior vice president of revenue cycle operations and deployments at AKASA, where she maintains operational responsibility for the production and performance of the firm’s AI-driven automation platform. Across her 25-year career in revenue cycle, Raymond has held several leadership, consulting, and implementation roles. Her industry experience includes tenures at national and regional health systems, as well as numerous care settings and specialties. Most recently, Raymond served as a senior leader in the revenue cycle technology vertical at Advisory Board. Her extensive professional expertise includes: end-to-end revenue cycle operations, process redesign/optimization, patient financial experience improvement, technology deployment/adoption, change management, and employee engagement. As a military spouse, Raymond is a passionate advocate for mil-spouse hiring and community support.