Automated Medical Coding
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Automate ICD-10 Codes
Save Crucial Physician Time And Focus On Patient Care
Transition from ICD-9 codes to increased complexity of ICD-10 codes is 5x more burdening for physicians. With RevMaxx automated coding, not only is medical code is faster, but ERROR-FREE, backed by cutting edge NLP algorithms and massive databases on specialised medical expertise. RevMaxx translates your complex clinical notes into accurate ICD 10 codes with a single click on your phone.
Fuel Your Physician Revenue cycle With Error-Free Automated ICD-10 Codes
Automating code leads to a 56% drop in billing errors, decreasing and claims process, and optimising physician revenue. See how RevMaxx’s cutting-edge features help automatically generate ICD-10 codes without adding clicks or time to search.
Automatic code search
Automatically searches for and suggests the most appropriate ICD and procedural codes based on the patient's clinical documentation. This feature saves valuable time for coders and physicians alike. Studies found that implementing automated coding systems reported a 22% reduction in coding time, allowing staff to focus on more complex cases and quality assurance.
Seamless conversion and translation into ICD codes
RevMaxx reduces the three long steps of manual medical coding into one click of RevMaxx automated medical coding translation. This feature ensures coding consistency, reduces the risk of human error, and decreases stress and burnout in hospital staff.
Improve coding accuracy
RevMaxx achieves statistically higher levels of coding accuracy through the sole implementation of machine learning algorithms and vast medical knowledge databases. This accuracy is essential for proper reimbursement and compliance with regulatory requirements.
Accurate claims processing
FAQ On Automated Medical Coding
The automated ICD-10 coding system utilizes advanced machine learning algorithms, such as deep learning and convolutional neural networks, to analyze the free-text clinical notes, discharge summaries, and other medical documentation. It extracts relevant information, identifies key medical concepts, and assigns the most appropriate ICD-10 codes based on the context and specific details provided in the documentation.