1. What are the challenges today with Medical Coding?
Medical coding is a labor-intensive process that is susceptible to human error throughout each step of the Revenue Cycle Management (RCM) cycle. These errors can result in up to 30% of claim denials, among large delays and overall cash flow issues for healthcare providers. However, artificial intelligence can help reduce these errors and revolutionize the RCM cycle.
2. Benefits of using AI for Medical Coding
Consistency and Compliance
In order for AI to work effectively within sensitive patient data, it is important that your software complies with coding guidelines and regulations. This is where Billient.AI comes in. Built according to industry standards, our platform is designed to comply with the latest coding rules and updates. While manual coding can diverge based on each individual coder’s experience or guideline interpretation, automated systems ensure a uniform approach. This reduces inconsistencies and risk of non-compliance.
Productivity Boost
Automating your systems frees up time spent by healthcare professionals on repetitive coding tasks and fixing errors manually. A medical coder spends an average of 15 minutes manually reviewing a patient’s case. With your AI tool, you can reduce that time spent to just a few minutes. With AI in your RCM cycle, you can give your healthcare professionals the extra time to prioritize patient care, or your medical coders to tackle more complex cases.
Reduced Costs
Manual coding is resource-intensive and drives higher costs. It demands skilled coders, thorough training, and continuous education to remain current with ever-changing coding guidelines. A single coding error that results in a rejected claim could cost a healthcare organization thousands of dollars. Once integrated into your systems, AI can trim costs linked with manual labor, training, and potential coding errors.
Data Analysis: Learn more about your business
Beyond supporting your coding needs, AI tools can gather and help you understand your data better. AI can develop insights into coding patterns, reimbursement trends, and areas requiring further documentation or training. With this information, your organization can optimize your RCM processes by identifying coding gaps and refining coding practices.
“Fewer denials, faster reimbursement, and more time for my staff to focus on patient and practice needs instead of administrative backlogs. It truly feels like we’ve gained an extra layer of support without adding headcount."
Tonya M, Project Manager RCM Company
3. Next Steps
Artificial Intelligence within your RCM software can swiftly parse through medical documentation, recommend suitable Current Procedural Terminology (CPT) codes, and precisely accomplish coding tasks. To increase your accuracy and efficiency, reach out to Billient.AI today.